ZhuoranYang's Stars
MustangYM/WeChatExtension-ForMac
A plugin for Mac WeChat
google/dopamine
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
NVlabs/SPADE
Semantic Image Synthesis with SPADE
wowchemy/wowchemy-hugo-themes
😍 EASILY BUILD THE WEBSITE YOU WANT - NO CODE, JUST MARKDOWN BLOCKS! 使用块轻松创建任何类型的网站 - 无需代码。 一个应用程序，没有依赖项，没有 JS
yeasy/blockchain_guide
Introduce blockchain related technologies, from theory to practice with bitcoin, ethereum and hyperledger.
CorsixTH/CorsixTH
Open source clone of Theme Hospital
py-why/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
higgsfield/RL-Adventure
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
kmkolasinski/deep-learning-notes
Experiments with Deep Learning
brylevkirill/notes
Learn about Machine Learning and Artificial Intelligence
ikostrikov/jaxrl
JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
fsavje/math-with-slack
Rendered math (MathJax) with Slack's desktop client
david-abel/simple_rl
A simple framework for experimenting with Reinforcement Learning in Python.
zzsza/Awesome-Mobility-Machine-Learning-Contents
Machine Learning / Deep Learning Contents in Mobility Industry(Transportation)
llSourcell/quantum_machine_learning
This is the code for "Quantum Machine Learning" By Siraj Raval on Youtube
tu-rbo/differentiable-particle-filters
Source code and data for the paper "Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors"
llSourcell/ethereum_demo
This is the code for "Ethereum Explained" by Siraj Raval on Youtube
Silvicek/distributional-dqn
Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regression' based on OpenAi DQN baselines.
SoyGema/Startcraft_pysc2_minigames
Startcraft II Machine Learning research with DeepMind pysc2 python library .mini-games and agents.
csxeba/brainforge
A Neural Networking library based on NumPy only
deeplearning-math/deeplearning-math.github.io
A Course on Mathematical Theories of Deep Learning
zbzhu99/Constrained-Decision-Making-Paper-List
Paper list for constrained policy optimization in reinforcement learning.
skcript/awesome-hyperledger
A curated list of Hyperledger Resources, Articles, Talks and Applications, all in one place.
rgilman33/baselines-A2C
[DEPRECATED] Advantage Actor Critic model in PyTorch inspired by OpenAI baselines TensorFlow implementation
gopala-kr/DRL-Agents
research and implementations of Deep RL agents and their applications
jmaxwilson/wsl-docker-git-setup
Shell script to configure Windows Subsystem for Linux (WSL) & Ubuntu on Windows to use docker and docker-compose as well as a git-enabled prompt
011235813/discrete_mean_field_game
Experiments on a discrete mean field game model of population dynamics with reinforcement learning
gianlucadetommaso/Stein-variational-samplers
Python and MATLAB code for Stein Variational sampling methods
nirenzang/Optimal-Selfish-Mining-Strategies-in-Bitcoin
An implementation of the Financial Crypto 2016 paper "Optimal Selfish Mining Strategies in Bitcoin"
poweic/deep-reinforcement-learning
Deep Reinforcement Learning in TensorFlow (with A3C, ACER, etc.)