goodrahstar / My Awesome Ai Bookmarks
Curated list of my reads, implementations and core concepts of Artificial Intelligence, Deep Learning, Machine Learning by best folk in the world.
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My Artificial Intelligence Bookmarks
Curated list of my reads, implementations and core concepts of Artificial Intelligence, Deep Learning, Machine Learning by best folk in the world.
AI Bookmarks
🎉🎉🎉 Purchase updated list here -->2018-2019
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- How to use transfer learning and fine-tuning in Keras and Tensorflow to build an image recognition…
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- How to deploy Machine Learning models with TensorFlow. Part 1 — make your model ready for serving.
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- image-classification-indoors-outdoors/image-classification.ipynb at master · manena/image-classification-indoors-outdoors
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- (620) Learning to Communicate with Deep Multi-Agent Reinforcement Learning - Jakob Foerster - YouTube
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- Compressing deep neural nets
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- Engineering Extreme Event Forecasting at Uber with Recurrent Neural Networks - Uber Engineering Blog
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- Run python script from init.d
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- Daemon vs Upstart for python script - Stack Overflow
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- Reinforcement learning for complex goals, using TensorFlow - O'Reilly Media
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- Blockchains: How They Work and Why They’ll Change the World - IEEE Spectrum
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- NET292.profile.indd
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- GANs are Broken in More than One Way: The Numerics of GANs
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- (74) Stanford Seminar - "Deep Learning for Dummies" Carey Nachenberg of Symantec and UCLA CS - YouTube
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- Fast.ai: What I Learned from Lessons 1–3 – Hacker Noon
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- Meet Horovod: Uber's Open Source Distributed Deep Learning Framework
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- Home · cat /var/log/life
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- 2D & 3D Visualization using NCE Cost | Kaggle
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- New Theory Cracks Open the Black Box of Deep Learning | Quanta Magazine
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- Feature Visualization
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- Face It – The Artificially Intelligent Hairstylist | Intel® Software
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- What is TensorFlow? | Opensource.com
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- Estimating an Optimal Learning Rate For a Deep Neural Network – Medium
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- Understanding Hinton’s Capsule Networks. Part I: Intuition.
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- Capsule Networks Are Shaking up AI — Here’s How to Use Them
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- Research Blog: Eager Execution: An imperative, define-by-run interface to TensorFlow
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- Google and Uber’s Best Practices for Deep Learning – Intuition Machine – Medium
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- TFX: A TensorFlow-based production scale machine learning platform | the morning paper
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- Comprehensive data exploration with Python | Kaggle
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- An Easy Guide to build new TensorFlow Datasets and Estimator with Keras Model | DLology
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- Distributed TensorFlow: A Gentle Introduction
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- Google Developers Blog: Introduction to TensorFlow Datasets and Estimators
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- Google Developers Blog: Introducing TensorFlow Feature Columns
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- TensorLy: Tensor learning in Python
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- Question answering with TensorFlow - O'Reilly Media
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- Kubernetes + GPUs 💙 Tensorflow – Intuition Machine – Medium
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- Welcoming the Era of Deep Neuroevolution - Uber Engineering Blog
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- Deep Learning for NLP, advancements and trends in 2017 - Tryolabs Blog
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- Turning Design Mockups Into Code With Deep Learning - FloydHub Blog
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- AI and Deep Learning in 2017 – A Year in Review – WildML
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- Research Blog: The Google Brain Team — Looking Back on 2017 (Part 1 of 2)
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- Reinforcement Learning · Artificial Inteligence
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- Sketching Interfaces – Airbnb Design
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- Machine Learning Explained: Understanding Supervised, Unsupervised, and Reinforcement Learning - Data Science Central
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- Fine-tuning Convolutional Neural Network on own data using Keras Tensorflow – CV-Tricks.com
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- A neural approach to relational reasoning | DeepMind
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- Deep Reinforcement Learning Doesn't Work Yet
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- Big Picture: Google Visualization Research
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- Research Blog: Using Evolutionary AutoML to Discover Neural Network Architectures
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- Secure Computations as Dataflow Programs - Cryptography and Machine Learning
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- Teach Machine to Comprehend Text and Answer Question with Tensorflow - Part I · Han Xiao Tech Blog
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- Deep Reinforcement Learning: Pong from Pixels
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- Tensorboard on gcloud
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- Entity extraction using Deep Learning based on Guillaume Genthial work on NER
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- Deep Learning Book Notes, Chapter 3 (part 1): Introduction to Probability
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- Predicting physical activity based on smartphone sensor data using CNN + LSTM
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- Learn Word2Vec by implementing it in tensorflow – Towards Data Science
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- TutorialBank: Learning NLP Made Easier - Alexander R. Fabbri
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- How to Quickly Train a Text-Generating Neural Network for Free
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- Code2Pix - Deep Learning Compiler for Graphical User Interfaces
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- naacl18.pdf
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- Deep Learning for Object Detection: A Comprehensive Review
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- 4 Sequence Encoding Blocks You Must Know Besides RNN/LSTM in Tensorflow · Han Xiao Tech Blog - Deep Learning, Tensorflow, Machine Learning and more!
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- Automated front-end development using deep learning
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- A New Angle on L2 Regularization
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- Another Datum
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- IML-Sequence
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- ml4a-guides/q_learning.ipynb at experimental · ml4a/ml4a-guides
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- tensorflow-without-a-phd/00_RNN_predictions_playground.ipynb at master · GoogleCloudPlatform/tensorflow-without-a-phd
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- Convolutional Neural Network based Image Colorization using OpenCV | Learn OpenCV
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- Transfer Learning in NLP – Feedly Blog
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- CS 229 - Deep Learning Cheatsheet
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- Google AI Blog: Introducing a New Framework for Flexible and Reproducible Reinforcement Learning Research
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- Building a text classification model with TensorFlow Hub and Estimators
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- Deploy TensorFlow models – Towards Data Science
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- Deep Learning – Mohit Jain
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- Анализ тональности текстов с помощью сверточных нейронных сетей / Блог компании Mail.Ru Group / Хабр
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- Machine Reading Comprehension Part II: Learning to Ask & Answer · Han Xiao Tech Blog - Deep Learning, Tensorflow, Machine Learning and more!
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- How to Quickly Train a Text-Generating Neural Network for Free
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- Auto-Keras, or How You can Create a Deep Learning Model in 4 Lines of Code
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- More Effective Transfer Learning for NLP
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- Machine Learning using Google Cloud ML Engine. – Gautam Karmakar – Medium
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- Training and Serving ML models with tf.keras – TensorFlow – Medium
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- How to deploy TensorFlow models to production using TF Serving
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- Playing Mortal Kombat with TensorFlow.js. Transfer learning and data augmentation · Minko Gechev's blog
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- Beyond Interactive: Notebook Innovation at Netflix – Netflix TechBlog – Medium
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- Mask R-CNN with OpenCV - PyImageSearch
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- The Illustrated BERT, ELMo, and co. (How NLP Cracked Transfer Learning) – Jay Alammar – Visualizing machine learning one concept at a time
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- Serving ML Quickly with TensorFlow Serving and Docker
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- Human-Centered AI
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- Keras as a simplified interface to TensorFlow: tutorial
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- Serving Google BERT in Production using Tensorflow and ZeroMQ · Han Xiao Tech Blog - Deep Learning, NLP, AI
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- Multilingual Sentence Embeddings for Zero-Shot Transfer – Applying a Single Model on 93 Languages | Lyrn.AI
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- Deploy flask app with nginx using gunicorn and supervisor
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- Dept. of Computer Sci.: Module Handbook for the Bachelor and Master Programmes
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- 14 NLP Research Breakthroughs You Can Apply To Your Business
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- The Illustrated BERT, ELMo, and co. (How NLP Cracked Transfer Learning) – Jay Alammar – Visualizing machine learning one concept at a time
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- A gallery of interesting Jupyter Notebooks · jupyter/jupyter Wiki
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- CS294-158 Deep Unsupervised Learning Spring 2018
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- Object Detection in Google Colab with Custom Dataset
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- Advanced Visualization for Data Scientists with Matplotlib
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- FavioVazquez/ds-cheatsheets: List of Data Science Cheatsheets to rule the world
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- Gentle Dive into Math Behind Convolutional Neural Networks
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- Customer churn prediction in telecom using machine learning in big data platform
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- How to Port-Forward Jupyter Notebooks – Scott Hawley – Development Blog
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- Top 8 trends from ICLR 2019
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- The Illustrated Word2vec – Jay Alammar – Visualizing machine learning one concept at a time
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- Google AI Blog: Transformer-XL: Unleashing the Potential of Attention Models
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- TensorFlow & reflective tape : why I’m bad at basketball 🏀
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- Topic Modeling with LSA, PLSA, LDA & lda2Vec
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- GAN — Some cool applications of GANs. – Jonathan Hui – Medium
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- A Recipe for Training Neural Networks
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- Practice Quantum Computing | Brilliant
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- dennybritz/reinforcement-learning: Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
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- Weight Agnostic Neural Networks
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- Transformers from scratch | Peter Bloem
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- The Illustrated Transformer – Jay Alammar – Visualizing machine learning one concept at a time
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- The Illustrated GPT-2 (Visualizing Transformer Language Models) – Jay Alammar – Visualizing machine learning one concept at a time
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- ml-dl -
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- Indaba2019 NLP Talk.pdf - Google Drive
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- Automation via Reinforcement Learning
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- CS 224N | Home
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- mihail911/nlp-library: curated collection of papers for the nlp practitioner 📖👩🔬
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- Production-ready Docker images
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- The key lessons from “Where Good Ideas Come From” by Steven Johnson
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- Neural Networks Example, Math and code – Brian Omondi Asimba
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- How to apply machine learning and deep learning methods to audio analysis
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- A Visual Guide to Using BERT for the First Time – Jay Alammar – Visualizing machine learning one concept at a time
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- NeurIPS · SlidesLive
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- https://towardsdatascience.com/from-pre-trained-word-embeddings-to-pre-trained-language-models-focus-on-bert-343815627598
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- Joel Grus – Fizz Buzz in Tensorflow
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- (160) Visual Interpretability of CNNs | Himanshu Rawlani | PyData Pune Meetup | July 2019 - YouTube
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- Memo's Island: A simple and interpretable performance measure for a binary classifier
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- Data-Science-Periodic-Table.pdf
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- Writing a Generic TensorFlow Serving Client for Tensorflow Serving models
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- Writing a Generic TensorFlow Serving Client for Tensorflow Serving models
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- dspace.mit.edu/bitstream/handle/1721.1/41487/AI_WP_316.pdf
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- Transformers are Graph Neural Networks | NTU Graph Deep Learning Lab
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- 7 advanced pandas tricks for data science - Towards Data Science
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- Google AI Blog: XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization
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- CNN Explainer
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- Polo Club of Data Science @ Georgia Tech: Human-Centered AI, Deep Learning Interpretation & Visualization, Cybersecurity, Large Graph Visualization and Mining | Georgia Tech | Atlanta, GA 30332, United States
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- Sara Robinson
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- Common statistical tests are linear models (or: how to teach stats)
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- Zero-Shot Learning for Text Classification
2015 - 2018
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- Python Deep Learning Projects
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- Deep Learning
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- Fast Artificial Neural Network Library (FANN)
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- The Nature of Code
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- Create and Train Custom Neural Network Architectures - MATLAB & Simulink - MathWorks India
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- limdu js framework
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- Neural networks and deep learning
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- NN Why Does it Work?
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- Introduction to Convex Optimization | Electrical Engineering and Computer Science | MIT OpenCourseWare
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- Python Programming Tutorials imge recognition
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- Data Science and Machine Learning Essentials | edX
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- Deep learning – Convolutional neural networks and feature extraction with Python | Pyevolve
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- 50 external machine learning / data science resources and articles - Data Science Central
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- Hacker's guide to Neural Networks
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- Fast Forward Labs: How do neural networks learn?
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- Machine Learning
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- Memkite – Deep Learning for iOS (tested on iPhone 6S), tvOS and OS X developed in Metal and Swift | Memkite
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- Demis Hassabis, CEO, DeepMind Technologies - The Theory of Everything | Machine Learning & Computer Vision Talks
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- DataTau- hacker news on DL
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- Deeplearning4j - Open-source, distributed deep learning for the JVM
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- Torch | Recurrent Model of Visual Attention
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- Machine Learning for Developers by Mike de Waard
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- Deep Learning - Community - Google+
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- A Tour of Machine Learning Algorithms - Data Science Central
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- Understanding Natural Language with Deep Neural Networks Using Torch | Parallel Forall
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- What a Deep Neural Network thinks about your #selfie
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- Jason Yosinski
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- WildML | A blog about Machine Learning, Deep Learning and NLP.
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- Getting Started — TensorFlow
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- Deep Learning:Theoretical Motivations - VideoLectures.NET
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- Unsupervised Feature Learning and Deep Learning Tutorial
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- Wit — Getting Started
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- research.microsoft.com/pubs/209355/DeepLearning-NowPublishing-Vol7-SIG-039.pdf
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- ujjwalkarn/Machine-Learning-Tutorials
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- Top 10 Machine Learning APIs: AT&T Speech, IBM Watson, Google Prediction | ProgrammableWeb
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- NeuroVis | An interactive introduction to neural networks
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- learning_tensorflow/word2vec.md at master · chetannaik/learning_tensorflow
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- intro2deeplearning/notebooks at master · rouseguy/intro2deeplearning
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- Autoencoders - Ep. 10 (Deep Learning SIMPLIFIED) - YouTube
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- Python Programming Tutorials
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- How to Prepare Data For Machine Learning - Machine Learning Mastery
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- Solve Machine Learning Problems Step-by-Step - Machine Learning Mastery
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- Implementing a CNN for Text Classification in TensorFlow – WildML
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- Anyone Can Learn To Code an LSTM-RNN in Python (Part 1: RNN) - i am trask
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- 7 Steps to Mastering Machine Learning With Python
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- DeepLearningKit – Open Source Deep Learning Framework for Apple’s iOS, OS X and tvOS | Open Source Deep Learning Framework for iOS, OS X and tvOS
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- A Visual Introduction to Machine Learning
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- Attention and Memory in Deep Learning and NLP – WildML
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- A Neural Network in 11 lines of Python (Part 1) - i am trask
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- Python Training | Python For Data Science | Learn Python
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- Understanding LSTM Networks -- colah's blog
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- deeplearning4nlp-tutorial/2015-10_Lecture at master · nreimers/deeplearning4nlp-tutorial
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- Collection Of 51 Free eBooks On Python Programming
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- Analyzing 50k fonts using deep neural networks | Erik Bernhardsson
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- Data Science Ontology
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- Reddit Machine Learning
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- RNNs in Darknet
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- caesar0301/awesome-public-datasets: An awesome list of high-quality open datasets in public domains (on-going).
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- A Beginner's Guide to Recurrent Networks and LSTMs - Deeplearning4j: Open-source, distributed deep learning for the JVM
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- Essentials of Machine Learning Algorithms (with Python and R Codes)
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- PythonForArtificialIntelligence - Python Wiki
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- carpedm20/lstm-char-cnn-tensorflow: LSTM language model with CNN over characters in TensorFlow
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- kjw0612/awesome-rnn: Recurrent Neural Network - A curated list of resources dedicated to RNN
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- sherjilozair/char-rnn-tensorflow: Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow
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- Stanford University CS231n: Convolutional Neural Networks for Visual Recognition
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- Top Youtube Videos On Machine Learning, Neural Network & Deep Learning
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- The Spectator ← Shakir's Machine Learning Blog
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- Preprocessing text data — Computational Statistics in Python 0.1 documentation
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- Tutorial : Beginner to advanced machine learning in 15 hour Videos – AnalyticsPro : Analytics Tutorials for Data Science , BI & Big Data
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- Next Big Future: Recurrent Neural Nets
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- Must Know Tips/Tricks in Deep Neural Networks - Data Science Central
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- Visual Question Answering Demo in Python Notebook – Aaditya Prakash (Adi) – Random Musings of Computer Vision grad student
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- A Neural Network Playground
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- Machine Learning : Few rarely shared trade secrets - Data Science Central
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- Russell Stewart- debug NN
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- Extracting meaningful content from raw HTML – Thomas Uhrig
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- Russell Stewart
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- Recurrent Neural Networks | The Shape of Data
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- ITP-NYU - Spring 2016
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- White Rain Noise Generator | White Noise & Rain Combined
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- Machine Learning
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- A GloVe implementation in Python - foldl
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- Understanding Convolution in Deep Learning - Tim Dettmers
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- The Chars74K image dataset - Character Recognition in Natural Images
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- A Statistical View of Deep Learning (IV): Recurrent Nets and Dynamical Systems ← The Spectator
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- Tensorflow and deep learning - without a PhD - Google Slides
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- Parity problem, sequential: 1 bit at a time
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- Machine learning with Python: A Tutorial
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- Neural networks and deep learning
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- Juergen Schmidhuber's home page - Universal Artificial Intelligence - New AI - Deep Learning - Recurrent Neural Networks - Computer Vision - Object Detection - Image segmentation - Goedel Machine - Theory of everything - Algorithmic theory of everything -
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- t-SNE – Laurens van der Maaten
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- Stanford University CS224d: Deep Learning for Natural Language Processing
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- Machine Learning 10-701/15-781: Lectures
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- Word2vec Tutorial | RaRe Technologies
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- Machine learning |
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- How to read: Character level deep learning – Offbit
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- Generative Models
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- goodrahstar/python-machine-learning-book: The "Python Machine Learning" book code repository and info resource
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- A noob’s guide to implementing RNN-LSTM using Tensorflow — Medium
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- Structuring Your TensorFlow Models
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- Would You Survive the Titanic? A Guide to Machine Learning in Python - SocialCops Blog
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- Berkeley AI Materials
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- Hello, TensorFlow! - O'Reilly Media
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- Visualize Algorithms based on the Backpropagation — NeuPy
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- Talking Machines
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- Probability Cheatsheet
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- A Beginner's Guide To Understanding Convolutional Neural Networks – Adit Deshpande – CS Undergrad at UCLA ('19)
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- Approaching (Almost) Any Machine Learning Problem | Abhishek Thakur | No Free Hunch
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- MNE — MNE 0.12.0 documentation
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- Alexandre Gramfort - Telecom ParisTech
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- Image Kernels explained visually
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- Introduction to Recurrent Networks in TensorFlow
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- The Ultimate List of TensorFlow Resources: Books, Tutorials & More - Hacker Lists
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- the morning paper | an interesting/influential/important paper from the world of CS every weekday morning, as selected by Adrian Colyer
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- The Ultimate List of TensorFlow Resources: Books, Tutorials & More - Hacker Lists
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- ChristosChristofidis/awesome-deep-learning: A curated list of awesome Deep Learning tutorials, projects and communities.
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- Nervana's Deep Learning Course - Nervana
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- CNN practical
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- What my deep model doesn't know... | Yarin Gal - Blog | Cambridge Machine Learning Group
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- TensorFlow Linear Model Tutorial
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- tensorflow/models · GitHub
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- An introduction to Generative Adversarial Networks (with code in TensorFlow) - AYLIEN
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- Neural Network Evolution Playground with Backprop NEAT | 大トロ
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- Teaching an AI to write Python code with Python code • Will cars dream?
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- GitHub - paarthneekhara/text-to-image: Tensorflow implementation of text to image synthesis using thought vectors
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- Learning TensorFlow
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- The 9 Deep Learning Papers You Need To Know About (Understanding CNNs Part 3) – Adit Deshpande – CS Undergrad at UCLA ('19)
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- What is the Role of the Activation Function in a Neural Network?
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- Research paper categorization using machine learning and NLP
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- WaveNet: A Generative Model for Raw Audio | DeepMind
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- Backpropagation In Convolutional Neural Networks - DeepGrid
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- Urban Sound Classification
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- Model evaluation, model selection, and algorithm selection in machine learning - Part II
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- Data - Melbourne University AES/MathWorks/NIH Seizure Prediction | Kaggle
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- cchio/deep-pwning: Metasploit for machine learning.
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- First Contact With TensorFlow | Professor Jordi Torres | UPC & BSC-CNS | Barcelona
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- Industry // AETROS
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- alrojo/tensorflow-tutorial · GitHub
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- Sequence prediction using recurrent neural networks(LSTM) with TensorFlow — Mourad Mourafiq
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- Python Programming Tutorials
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- Natural Language Processing and Voice Recognition Resources – Niaw de Leon
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- Deep Learning for Beginners
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- TensorFlow on Android - O'Reilly Media
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- TensorFlow for Mobile Poets « Pete Warden's blog
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- 5 algorithms to train a neural network | Neural Designer
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- Hello DeepQ — koaning.io
-
- How do Convolutional Neural Networks work?
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- Neural Network Architectures
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- Question-Answer Dataset
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- Image-to-Image Translation with Conditional Adversarial Networks
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- GitXiv: Collaborative Open Computer Science
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- Deep Learning Cheat Sheet
-
- Introduction to Recurrent Networks in TensorFlow
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- DmitryUlyanov/neural-style-audio-tf · GitHub
-
- goodrahstar/tensorflow-value-iteration-networks: TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper
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- Recurrent Neural Network Tutorial for Artists | 大トロ
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- Eric Jang: Summary of NIPS 2016
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- GitHub - thtrieu/essence: AutoDiff DAG builder, built from scratch on top of numpy and C
-
- Deep Text Correcter
-
- GitHub - zhongwen/predictron: Tensorflow implementation of "The Predictron: End-To-End Learning and Planning"
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- The major advancements in Deep Learning in 2016 - Tryolabs Blog
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- Contact Me – the data science blog
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- Wikipedia Monolingual Corpora | linguatools
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- Tensorflow RNN-LSTM implementation to count number of set bits in a binary string
-
- buriburisuri/speech-to-text-wavenet: Speech-to-Text-WaveNet : End-to-end sentence level English speech recognition based on DeepMind's WaveNet and tensorflow
-
- AudioSet
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- The amazing power of word vectors | the morning paper
-
- Let’s Make A Bot That Applies To Jobs For Us With Python – Millennial Dave
-
- goodrahstar/pytorch-tutorial: tutorial for researchers to learn deep learning with pytorch.
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- Overview - seq2seq
-
- Baidu Deep Voice explained: Part 1 — the Inference Pipeline
-
- Tensorflow demystified – gk_ – Medium
-
- Transfer Learning - Machine Learning's Next Frontier
-
- Deep Learning with Emojis (not Math) – tech-at-instacart
-
- Anything2Vec, or How Word2Vec Conquered NLP – Yves Peirsman
-
- Q/A System — Deep learning(2/2) – Becoming Human – Medium
-
- A Brief History of CNNs in Image Segmentation: From R-CNN to Mask R-CNN
-
- Face recognition with Keras and OpenCV – Above Intelligent (AI)
-
- A16Z AI Playbook
-
- Neural Text Embeddings for Information Retrieval (WSDM 2017)
-
- A list of artificial intelligence tools you can use today — for personal use (1/3)
-
- Research Blog: The Machine Intelligence Behind Gboard
-
- paraphrase-id-tensorflow/README.md at master · nelson-liu/paraphrase-id-tensorflow
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- NeuroNER/README.md at master · Franck-Dernoncourt/NeuroNER
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- How to Visualize Your Recurrent Neural Network with Attention in Keras
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- Deep adversarial learning is finally ready 🚀 and will radically change the game
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- Franck-Dernoncourt/NeuroNER: Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.
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- Serving Tensorflow
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- Jupyter + Tensorflow + Nvidia GPU + Docker + Google Compute Engine
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- Exploring LSTMs
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- Teaching RL
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