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TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Learn how to design, develop, deploy and iterate on production-grade ML applications.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Python programs, usually short, of considerable difficulty, to perfect particular skills.
A game theoretic approach to explain the output of any machine learning model.
The fastai book, published as Jupyter Notebooks
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
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
The "Python Machine Learning (1st edition)" book code repository and info resource
《Python Cookbook》 3rd Edition Translation
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Public facing notes page
Best Practices, code samples, and documentation for Computer Vision.
TensorFlow Tutorials with YouTube Videos
Build your neural network easy and fast, 莫烦Python中文教学
Image restoration with neural networks but without learning.
Code samples used on cloud.google.com
Visualizations for machine learning datasets
The "Python Machine Learning (2nd edition)" book code repository and info resource
Code for Tensorflow Machine Learning Cookbook
The Udacity open source self-driving car project
Simple tutorials using Google's TensorFlow Framework
A scikit-learn compatible neural network library that wraps PyTorch
Efficient Image Captioning code in Torch, runs on GPU
Repo for the Deep Reinforcement Learning Nanodegree program