ZGHAP's Stars
google-research/google-research
Google Research
openai/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
google-deepmind/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
ctgk/PRML
PRML algorithms implemented in Python
optuna/optuna
A hyperparameter optimization framework
AI4Finance-Foundation/FinRL
FinRL: Financial Reinforcement Learning. 🔥
pymc-devs/pymc
Bayesian Modeling and Probabilistic Programming in Python
ljpzzz/machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
ibab/tensorflow-wavenet
A TensorFlow implementation of DeepMind's WaveNet paper
SaekiRaku/vscode-rainbow-fart
一个在你编程时疯狂称赞你的 VSCode 扩展插件 | An VSCode extension that keeps giving you compliment while you are coding, it will checks the keywords of code to play suitable sounds.
udacity/deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program
ikostrikov/pytorch-a2c-ppo-acktr-gail
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
Zeta36/chess-alpha-zero
Chess reinforcement learning by AlphaGo Zero methods.
JavierAntoran/Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
notadamking/RLTrader
A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym
kumar-shridhar/PyTorch-BayesianCNN
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
Ceruleanacg/Personae
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
quantopian/empyrical
Common financial risk and performance metrics. Used by zipline and pyfolio.
piEsposito/blitz-bayesian-deep-learning
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
openai/random-network-distillation
Code for the paper "Exploration by Random Network Distillation"
IntelLabs/bayesian-torch
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
vy007vikas/PyTorch-ActorCriticRL
PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.
rlcode/per
Prioritized Experience Replay (PER) implementation in PyTorch
ml-jku/baselines-rudder
RUDDER for ATARI games with delayed rewards in OpenAI Baselines package
Nasdin/ReinforcementLearning-AtariGame
Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games
schatty/oprl
A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing
YGragon/doughnut
甜甜圈，利用 小程序云数据库 简单实现一个社区 Demo，包含有首页、发布、个人中心、话题回复、话题点赞等功能
samlanka/DDPG-PyTorch
Deep Deterministic Policy Gradient implemented in PyTorch for DeepMind Control Suite
RafaelSterzinger/AlphaTrader
An implementation of a stock market trading bot, which uses Deep Q Learning
sauxpa/ns_yc_app
Nelson-Siegel Yield Curve bokeh app