mg2015started's Stars
microsoft/qlib
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
changgyhub/leetcode_101
LeetCode 101:和你一起你轻松刷题(C++)
shenweichen/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
hongleizhang/RSPapers
A Curated List of Must-read Papers on Recommender System.
KevinMusgrave/pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
ricequant/rqalpha
A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities
huangrt01/CS-Notes
我的自学笔记,终身更新,当前专注System基础、MLSys。
damianavila/RISE
RISE: "Live" Reveal.js Jupyter/IPython Slideshow Extension
Farama-Foundation/PettingZoo
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
NeuronDance/DeepRL
Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone
shenweichen/DeepMatch
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
uber-research/deep-neuroevolution
Deep Neuroevolution
huawei-noah/SMARTS
Scalable Multi-Agent RL Training School for Autonomous Driving
sjtu-marl/malib
A parallel framework for population-based multi-agent reinforcement learning.
praveen-palanisamy/macad-gym
Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:
cycraig/MP-DQN
Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"
fidler-lab/social-driving
Design multi-agent environments and simple reward functions such that social driving behavior emerges
wyndwarrior/Sectar
Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings
DanieleGravina/divergence-and-quality-diversity
A collection of papers on divergence and quality diversity
TonghanWang/RODE
Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is a scalable role-based multi-agent learning method which effectively discovers roles based on joint action space decomposition according to action effects, establishing a new state of the art on the StarCraft multi-agent benchmark.
uoe-agents/robotic-warehouse
Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment
jparkerholder/DvD_ES
Code from the paper "Effective Diversity in Population Based Reinforcement Learning", presented as a spotlight at NeurIPS 2020. This is the Evolution Strategies implementation, but of course the method can be used for gradient based RL algorithms (e.g. TD3).
clvrai/coordination
Learning to Coordinate Manipulation Skills via Skill Behavior Diversification (ICLR 2020)
JBLanier/pipeline-psro
Official Code Release for Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games
QDPP-GitHub/QDPP
Multi-Agent Determinantal Q-Learning
uoe-agents/seac
The official code base of Shared Experience Actor-Critic (NeurIPS2020)
eleurent/social-attention
Social Attention for Autonomous Decision-Making in Dense Traffic
agarwl/pse
Website for "Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning"
bwindsor22/quality-diversity-rl
recordmp3/gym-environment-of-Agar.io