6292 Open source projects that are alternatives of or similar to Tbd Nets

Code for "A-NICE-MC: Adversarial Training for MCMC"

Anomaly detection for temporal data using LSTMs

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

Books, papers and links to latest research in ML/AI

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

📷 ❓ Visual Question Answering Demo and Algorithmia API

Code for the Lovász-Softmax loss (CVPR 2018)

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Datasets, tools, and benchmarks for representation learning of code.

brief introduction to Python for neural networks

PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.

Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.

🟣 Object detection of abstract shapes with neural networks

Implementation of simple autoencoders networks with Keras

A clear, concise, simple yet powerful and efficient API for deep learning.

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Machine Learning notebooks for refreshing concepts.

pytorch 包教不包会

Visualisations for Convolutional Neural Networks in Pytorch

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

Plain python implementations of basic machine learning algorithms

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge

Fast and Easy Infinite Neural Networks in Python

Koç University deep learning framework.

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Machine Learning for High Energy Physics.

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.

A collection of deep learning models implemented in PyTorch

AI for everyone! 🎉 Neural networks, tools and a library we use in Supervisely

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

All about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.

This toolbox is support material for the book on CNN (http://www.convolution.network).

Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

RadIO is a library for data science research of computed tomography imaging

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

Deep learning codes and projects using Python

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

Applying Data Science and Machine Learning to Solve Real World Business Problems

PyTorch VQA implementation that achieved top performances in the (ECCV18) VizWiz Grand Challenge: Answering Visual Questions from Blind People

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Codes for weekly challenges on Deep Learning by Siraj

links to conference publications in graph-based deep learning

Machine Learning Practical course repository

These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

My personal notes, presentations, and notebooks on everything Deep Learning.

Place recognition with WiFi fingerprints using Autoencoders and Neural Networks

Grokking Deep Reinforcement Learning

Probabilistic reasoning and statistical analysis in TensorFlow