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TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Course Files for Complete Python 3 Bootcamp Course on Udemy
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
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.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
A collection of various deep learning architectures, models, and tips
This repository contains the source code for the paper First Order Motion Model for Image Animation
Natural Language Processing Tutorial for Deep Learning Researchers
This repository contains implementations and illustrative code to accompany DeepMind publications
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Public facing notes page
Code release for NeRF (Neural Radiance Fields)
FinRL: Financial Reinforcement Learning. 🔥
A collection of pre-trained, state-of-the-art models in the ONNX format
Notebooks and code for the book "Introduction to Machine Learning with Python"
this repository accompanies the book "Grokking Deep Learning"
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
Python code for "Probabilistic Machine learning" book by Kevin Murphy
The Udacity open source self-driving car project
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis