BigFishLi

DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

alpaca-lora

Instruct-tune LLaMA on consumer hardware

BMTools

Tool Learning for Big Models, Open-Source Solutions of ChatGPT-Plugins

decima-sim

Learning Scheduling Algorithms for Data Processing Clusters

LeetCodeAnimation

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

CityFlow

A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario

MAgent

A Platform for Many-Agent Reinforcement Learning

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

AdversarialNetsPapers

Awesome paper list with code about generative adversarial nets

spinningup

An educational resource to help anyone learn deep reinforcement learning.

geometry-score

VirtualTaobao

Virtual-Taobao simulators with OpenAI Gym interface

zhusuan

A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

the-gan-zoo

A list of all named GANs!

notes

Reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

pytorch-adda

A PyTorch implementation for Adversarial Discriminative Domain Adaptation

pytorch-lesson-zh

pytorch 包教不包会

pytorch-book

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》)

transferlearning-tutorial

《迁移学习简明手册》LaTex源码

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

graphdb-benchmarks

Performance benchmark between popular graph databases.

ganhacks

starter from "How to Train a GAN?" at NIPS2016

improved-gan

Code for the paper "Improved Techniques for Training GANs"

Bayesian-CycleGAN

[TNNLS] Bayesian Cycle-Consistent Generative Adversarial Networks via Marginalizing Latent Sampling

bayesgan

Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)

keras-dcgan

Keras implementation of Deep Convolutional Generative Adversarial Networks

bnt

Bayes Net Toolbox for Matlab

AutoAugment

Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow