Home / Machine Learning > Tutorials Machine Learning > Tutorials Collection 17.8k stars GitHub Contents Introduction Artificial Intelligence Genetic Algorithms Genetic Programming Statistics Cheat Sheets Useful Blogs Deep Learning Neural Machine Translation Deep Learning Frameworks Feed Forward Networks Recurrent and LSTM Networks Restricted Boltzmann Machine Convolutional Neural Networks Network Representation Learning Computer Vision Natural Language Processing Topic Modeling Reinforcement Learning Random Forest / Bagging Boosting CatBoost Bayesian Machine Learning Other Tutorials Introduction AI/ML YouTube Courses 17.2k updated 2y ago List of Machine Learning University Courses 67.2k updated 3y ago Machine Learning for Software Engineers 28.7k updated 2y ago Dive into Machine Learning 11.4k (archived) A curated list of awesome Machine Learning frameworks, libraries and software 72.3k updated 5mo ago A curated list of awesome data visualization libraries and resources. 4.3k updated 2y ago An awesome Data Science repository to learn and apply for real world problems 28.9k updated 5mo ago TheAnalyticsEdge edX Notes and Codes 24 updated 11y ago Have Fun With Machine Learning 5.1k updated 4y ago Artificial Intelligence Awesome Artificial Intelligence (GitHub Repo) 13.2k updated 1y ago Genetic Algorithms Genetic Programming Genetic Programming in Python (GitHub) 1.8k updated 8mo ago Statistics Learn Statistics Using Python 914 updated 6y ago Learn Statistics using an application-centric programming approach Cheat Sheets Machine Learning Cheat Sheet 8.0k updated 2y ago Useful Blogs Ethen's Notebook Collection 3.4k updated 5mo ago Continuously updated machine learning documentations (mainly in Python3). Contents include educational implementation of machine learning algorithms from scratch and open-source library usage Deep Learning A curated list of awesome Deep Learning tutorials, projects and communities 27.8k updated 1y ago Deep Learning Papers Reading Roadmap 39.5k updated 3y ago Introduction to Deep Learning Using Python (GitHub) 126 updated 11y ago Neural Machine Translation Machine Translation Reading List 2.4k updated 2y ago Deep Learning Frameworks All Codes 4.2k updated 6y ago Deep Learning Implementation Tutorials - Keras and Lasagne 426 updated 6y ago Code 622 updated 5y ago Learning Torch GitHub Repo 27 updated 11y ago Awesome-Torch (Repository on GitHub) 648 updated 8y ago Torch Cheatsheet 9.1k updated 1y ago TensorFlow Examples for Beginners 43.8k updated 2y ago GitHub Repo 10.4k (archived) Simplified Scikit-learn Style Interface to TensorFlow 3.2k (archived) Learning TensorFlow GitHub Repo Benchmark TensorFlow GitHub 2.7k updated 9y ago Awesome TensorFlow List 17.7k updated 7mo ago TensorFlow Book 4.4k updated 3y ago GitHub Repo 1.4k updated 1y ago GitHub Repo 463 updated 2y ago Feed Forward Networks Code 2.2k updated 3y ago Code 62 updated 11y ago Recurrent and LSTM Networks awesome-rnn: list of resources (GitHub Repo) 6.2k updated 4y ago Code 899 updated 3y ago Torch Code for character-level language models using LSTM 12.0k updated 2y ago LSTM for Kaggle EEG Detection competition (Torch Code) 70 updated 11y ago Code 480 updated 8y ago Torch code for Visual Question Answering using a CNN+LSTM model 488 updated 10y ago LSTM for Human Activity Recognition 3.5k updated 3y ago Time series forecasting with Sequence-to-Sequence (seq2seq) rnn models 1.1k updated 3y ago Restricted Boltzmann Machine RBMs in R 36 updated 6y ago Convolutional Neural Networks GitHub 10.8k updated 1y ago Network Representation Learning Awesome Graph Embedding 4.8k updated 3y ago Awesome Network Embedding 2.6k updated 5y ago Knowledge Representation Learning Papers 1.5k updated 5y ago Graph Based Deep Learning Literature 5.0k updated 7mo ago Awesome Graph Embedding Computer Vision Awesome deep vision 11.1k updated 3y ago Awesome computer vision 23.1k updated 2y ago Natural Language Processing A curated list of speech and natural language processing resources 2.2k updated 7y ago Topic Modeling Tutorial here 83 updated 2y ago Deep Belief Nets for Topic Models 144 updated 11y ago Series of lecture notes for probabilistic topic models written in ipython notebook 22 updated 11y ago Implementation of various topic models in Python 374 updated 6y ago Reinforcement Learning Awesome Reinforcement Learning 9.7k updated 3y ago Random Forest / Bagging Awesome Random Forest 1.2k updated 2y ago Boosting CatBoost Tutorial 1.1k updated 6mo ago Bayesian Machine Learning Bayesian Methods for Hackers (using pyMC) 28.5k updated 2y ago Kalman & Bayesian Filters in Python 18.9k updated 2y ago Other Tutorials this list 2.1k updated 3y ago For a collection of Data Science Tutorials using R, please refer to this list 5.7k updated 2y ago For a collection of Data Science Tutorials using Python, please refer to
