Stars
Learn how to design, develop, deploy and iterate on production-grade ML applications.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
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.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
TensorFlow Tutorials with YouTube Videos
Interview = 简历指南 + 算法题 + 八股文 + 源码分析
Build your neural network easy and fast, 莫烦Python中文教学
this repository accompanies the book "Grokking Deep Learning"
A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body
A scikit-learn compatible neural network library that wraps PyTorch
Tacotron 2 - PyTorch implementation with faster-than-realtime inference
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
A simplified implemention of Faster R-CNN that replicate performance from origin paper
Text recognition (optical character recognition) with deep learning methods, ICCV 2019
A small package to create visualizations of PyTorch execution graphs
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
Example TensorFlow codes and Caicloud TensorFlow as a Service dev environment.
This is code of book "Learn Deep Learning with PyTorch"
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"