Pinned Repositories
2s-AGCN
Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19
AI-Optimizer
The next generation deep reinforcement learning tookit
AlphaPose
Real-Time and Accurate Multi-Person Pose Estimation&Tracking System
AndroidSerialPort
Android串口通信示例
Awesome-DeepLearning-500FAQ
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。声明：所有内容来自（仅供学习）：https://github.com/scutan90/DeepLearning-500-questions
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
caffe
Caffe: a fast open framework for deep learning.
caffe-tensorflow
Caffe models in TensorFlow
CCPD
[ECCV 2018] CCPD: a diverse and well-annotated dataset for license plate detection and recognition
cemrl
minglou1984's Repositories
minglou1984/AI-Optimizer
The next generation deep reinforcement learning tookit
minglou1984/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
minglou1984/cemrl
minglou1984/CityLearn
Official reinforcement learning environment for demand response and load shaping
minglou1984/dcg
minglou1984/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
minglou1984/DI-engine
OpenDILab Decision AI Engine
minglou1984/epciclr2020
minglou1984/facmac
minglou1984/Fuzzy_MA2C
minglou1984/HFUT_AutoSubmit
合肥工业大学今日校园疫情信息收集自动打卡签到Action
minglou1984/homework_fall2022
Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2022)
minglou1984/MAAC
Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019
minglou1984/Multi-Agent-Constrained-Policy-Optimisation
Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
minglou1984/multiagent-particle-envs
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
minglou1984/on-policy
This is the official implementation of Multi-Agent PPO (MAPPO).
minglou1984/oyster
Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)
minglou1984/PettingZoo
Gym for multi-agent reinforcement learning
minglou1984/pymarl
Python Multi-Agent Reinforcement Learning framework
minglou1984/pymarl3
We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enhanced algorithm achieves 100% win rates on SMAC-V1 and superior performance on SMAC-V2.
minglou1984/PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
minglou1984/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
minglou1984/rebiber
A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).
minglou1984/rl-squared
RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning
minglou1984/shadowsocksr
Python port of ShadowsocksR
minglou1984/shap
A game theoretic approach to explain the output of any machine learning model.
minglou1984/smac
SMAC: The StarCraft Multi-Agent Challenge
minglou1984/stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
minglou1984/sumo
Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.
minglou1984/transfer-and-multi-task-reinforcement-learning