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Python Data Science Handbook: full text in Jupyter Notebooks
Google Research
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
A game theoretic approach to explain the output of any machine learning model.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
A collection of various deep learning architectures, models, and tips
The "Python Machine Learning (1st edition)" book code repository and info resource
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Best Practices, code samples, and documentation for Computer Vision.
A collection of pre-trained, state-of-the-art models in the ONNX format
this repository accompanies the book "Grokking Deep Learning"
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
The "Python Machine Learning (2nd edition)" book code repository and info resource
A course in reinforcement learning in the wild
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
A Code-First Introduction to NLP course
Debugging, monitoring and visualization for Python Machine Learning and Data Science
Open Content for self-directed learning in data science
A crash course in six episodes for software developers who want to become machine learning practitioners.
Text and code for the second edition of Think Bayes, by Allen Downey.
Single-document unsupervised keyword extraction
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
Tutorial on scikit-learn and IPython for parallel machine learning
Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
Simple and flexible progress bar for Jupyter Notebook and console
Collection of tools and code examples to demonstrate best practices in using Amazon EC2 Spot Instances.
Notebooks for the "A walk with fastai2" Study Group and Lecture Series
Bayesian Deep Learning Benchmarks