Understanding NnTensorflow tutorial for various Deep Neural Network visualization techniques
Stars: ✭ 261 (+832.14%)
ThesemicolonThis repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
Stars: ✭ 345 (+1132.14%)
NumpileA tiny 1000 line LLVM-based numeric specializer for scientific Python code.
Stars: ✭ 341 (+1117.86%)
Neural Network From ScratchEver wondered how to code your Neural Network using NumPy, with no frameworks involved?
Stars: ✭ 230 (+721.43%)
Dl tutorialTutorials for deep learning
Stars: ✭ 247 (+782.14%)
Scikit Learn VideosJupyter notebooks from the scikit-learn video series
Stars: ✭ 3,254 (+11521.43%)
Geopandas TutorialTutorial on geospatial data manipulation with Python
Stars: ✭ 306 (+992.86%)
JustenoughscalaforsparkA tutorial on the most important features and idioms of Scala that you need to use Spark's Scala APIs.
Stars: ✭ 538 (+1821.43%)
Dl For ChatbotDeep Learning / NLP tutorial for Chatbot Developers
Stars: ✭ 221 (+689.29%)
TutorialTutorial covering Open Source tools for Source Separation.
Stars: ✭ 223 (+696.43%)
DeeplearningcoursecodesNotes, Codes, and Tutorials for the Deep Learning Course <which I taught at ChinaHadoop>
Stars: ✭ 241 (+760.71%)
DatavisualizationTutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph
Stars: ✭ 234 (+735.71%)
PytorchDeep Learning Zero to All - Pytorch
Stars: ✭ 328 (+1071.43%)
Code searchCode For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"
Stars: ✭ 436 (+1457.14%)
Intro To PythonAn intro to Python & programming for wanna-be data scientists
Stars: ✭ 536 (+1814.29%)
Reinforcement learning tutorial with demoReinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..
Stars: ✭ 442 (+1478.57%)
Basic reinforcement learningAn introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
Stars: ✭ 826 (+2850%)
50 Days Of MlA day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects
Stars: ✭ 218 (+678.57%)
NotebooksLearn Python for free using open-source notebooks in Hebrew.
Stars: ✭ 877 (+3032.14%)
How To Read PytorchQuick, visual, principled introduction to pytorch code through five colab notebooks.
Stars: ✭ 218 (+678.57%)
TensorflowDeep Learning Zero to All - Tensorflow
Stars: ✭ 216 (+671.43%)
Pytorch Sentiment AnalysisTutorials on getting started with PyTorch and TorchText for sentiment analysis.
Stars: ✭ 3,209 (+11360.71%)
Kitti tutorialTutorial for using Kitti dataset easily
Stars: ✭ 235 (+739.29%)
Pytorch Seq2seqTutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Stars: ✭ 3,418 (+12107.14%)
TutorialsAI-related tutorials. Access any of them for free → https://towardsai.net/editorial
Stars: ✭ 204 (+628.57%)
Generative models tutorial with demoGenerative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..
Stars: ✭ 276 (+885.71%)
Pytorch Image ClassificationTutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
Stars: ✭ 272 (+871.43%)
Sars tutorialRepository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018
Stars: ✭ 320 (+1042.86%)
Sc17SuperComputing 2017 Deep Learning Tutorial
Stars: ✭ 211 (+653.57%)
User Machine Learning TutorialuseR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html
Stars: ✭ 393 (+1303.57%)
Dsp TheoryTheory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.
Stars: ✭ 437 (+1460.71%)
Open source demosA collection of demos showcasing automated feature engineering and machine learning in diverse use cases
Stars: ✭ 391 (+1296.43%)
Data Science Your WayWays of doing Data Science Engineering and Machine Learning in R and Python
Stars: ✭ 530 (+1792.86%)
Iclr2019 OpenreviewdataScript that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.
Stars: ✭ 376 (+1242.86%)
Getting Things Done With PytorchJupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
Stars: ✭ 738 (+2535.71%)
Har Keras CoremlHuman Activity Recognition (HAR) with Keras and CoreML
Stars: ✭ 23 (-17.86%)
Rl Tutorial Jnrr19Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019
Stars: ✭ 204 (+628.57%)
JuliatutorialsLearn Julia via interactive tutorials!
Stars: ✭ 732 (+2514.29%)
Awesome Google ColabGoogle Colaboratory Notebooks and Repositories (by @firmai)
Stars: ✭ 863 (+2982.14%)
TutorialsA project for developing tutorials for Streams
Stars: ✭ 14 (-50%)