Qian-kj's Stars
lgshub/overcooked-mappo
xuehy/pytorch-maddpg
A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)
HuaizhengZhang/Awesome-System-for-Machine-Learning
A curated list of research in machine learning systems (MLSys). Paper notes are also provided.
mayankkejriwal/GNOME-p3
tsinghua-fib-lab/Collective-Mobility-Model
tensorflow/tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
araloak/ieltsGPT
detailed IELTS writing evaluation with chatgpt
fedden/poker_ai
🤖 An Open Source Texas Hold'em AI
kwai/DouZero
[ICML 2021] DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning | 斗地主AI
baisebaoma/SurviveGTSIManual
GTSI生存指南
salesforce/warp-drive
Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)
VADERASU/visual-analytics-for-deep-transfer-learning
The repository for the paper "A Visual Analytics Framework for Explaining and Diagnosing the Transfer Learning Processes".
manasc12/Road_Mishap_Risk_Analysis_Using_Machine_Learning_and_Deep_Learning
A short project on UK Traffic Accident Data to Predict Accident Severity Level on different given scenarios using Random Forest and Neural Networks with HyperParameter Tuning. Tensorflow, Neural Network, SciKit Learn, Numpy, Pandas, Matplotlib, Random Forest,Feature Selection, Grid Search, Python3
CityScope/CSL_Corktown
Consolidated repository for the front-end and back-end modules of the Corktown CityScope project
ZHONGJunjie86/Generating-Traffic-Flows-with-MARL
Accepted by AROB 2021. For letting agents in traffic simulation behave more like humans, we propose a unified mechanism for agents learn to decide various accelerations on deep reinforcement learning and generate a traffic flow behaving variously to simulate the real traffic flow.
gama-platform/gama.old
Main repository for developing the 1.x versions of GAMA
pranavmodi/language-learning
bkgoksel/emergent-language
An implementation of Emergence of Grounded Compositional Language in Multi-Agent Populations by Igor Mordatch and Pieter Abbeel
meggl23/multi_agent_language
brendanator/atari-rl
Atari - Deep Reinforcement Learning algorithms in TensorFlow
xujiahuayz/auto-gov
sherminvo/TokenEconomyBook
How the Web3 reinvents the Internet - Copyleft 2020, Shermin Voshmgir: Creative Commons – CC BY-NC-SA
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
LxzGordon/Deep-Reinforcement-Learning-with-pytorch
Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,DDPG for discrete action space, A2C, A3C, TD3, SAC, TRPO
metagov/cryptopolitics-paper
Load, visualize, and ask questions of survey data on the political, economic, and governance attitudes of blockchain users
ethereumbook/ethereumbook
Mastering Ethereum, by Andreas M. Antonopoulos, Gavin Wood
cityflow-project/CityFlow
A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
volkhin/RoadTrafficSimulator
Road traffic simulator and signals optimizer in CoffeeScript & HTML5
zijie0/HumanSystemOptimization
健康学习到150岁 - 人体系统调优不完全指南
geekan/HowToLiveLonger
程序员延寿指南 | A programmer's guide to live longer