Pinned Repositories
2D-Irregular-Packing-Algorithm
Realize 2D irregular packing algorithm with python
A-python-package-to-MOEA
Multi-objective Evolutionary Algorithms using Python
Bilevel-Optimization-in-Coordination-Game
code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)
BIM_Workbench
A BIM Workbench for FreeCAD
bin-packing-drl
Solving the 1D bin packing problem (a NP-optimization problem) with Deep Reinforcement Learning
BOML
Bilevel Optimization Library in Python for Multi-Task and Meta Learning
CADTransformer
[CVPR 2022]"CADTransformer: Panoptic Symbol Spotting Transformer for CAD Drawings", Zhiwen Fan, Tianlong Chen, Peihao Wang, Zhangyang Wang
clash_for_windows_pkg
A Windows/macOS GUI based on Clash
coach
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
free
翻墙、免费翻墙、免费科学上网、免费节点、免费梯子、免费ss/v2ray/trojan节点、蓝灯、谷歌商店、翻墙梯子
zc19950602's Repositories
zc19950602/free
翻墙、免费翻墙、免费科学上网、免费节点、免费梯子、免费ss/v2ray/trojan节点、蓝灯、谷歌商店、翻墙梯子
zc19950602/BIM_Workbench
A BIM Workbench for FreeCAD
zc19950602/clash_for_windows_pkg
A Windows/macOS GUI based on Clash
zc19950602/coach
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
zc19950602/d2l-zh
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被60多个国家的400多所大学用于教学。
zc19950602/DRL
Deep Reinforcement Learning
zc19950602/DRL-Pytorch
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
zc19950602/ezdxf
Python interface to DXF
zc19950602/FreeCAD
This is the official source code of FreeCAD, a free and opensource multiplatform 3D parametric modeler.
zc19950602/generative_agents
Generative Agents: Interactive Simulacra of Human Behavior
zc19950602/gym
A toolkit for developing and comparing reinforcement learning algorithms.
zc19950602/HARL
Official implementation of HARL algorithms based on PyTorch.
zc19950602/iblofcqu.github.io
基于github 搭建内部pypi
zc19950602/IfcOpenShell
Open source IFC library and geometry engine
zc19950602/malib
A parallel framework for population-based multi-agent reinforcement learning.
zc19950602/MARLlib
One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)
zc19950602/mujoco
Multi-Joint dynamics with Contact. A general purpose physics simulator.
zc19950602/mujoco-py
MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.
zc19950602/multiagent-particle-envs
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
zc19950602/Online-3D-BPP-PCT
Code implementation of "Learning Efficient Online 3D Bin Packing on Packing Configuration Trees". We propose to enhance the practical applicability of online 3D Bin Packing Problem (BPP) via learning on a hierarchical packing configuration tree which makes the deep reinforcement learning (DRL) model easy to deal with practical constraints and well-
zc19950602/openrl
通用强化学习研究框架
zc19950602/pyMultiobjective
A python library for the following Multiobjective Optimization Algorithms or Many Objectives Optimization Algorithms: C-NSGA II; CTAEA; GrEA; HypE; IBEA-FC; IBEA-HV; MOEA/D; NAEMO; NSGA II; NSGA III; OMOPSO; PAES; RVEA; SMPSO; SMS-EMOA; SPEA2; U-NSGA III
zc19950602/pyomo
An object-oriented algebraic modeling language in Python for structured optimization problems.
zc19950602/pythonocc-core
Python package for 3D CAD/BIM/PLM/CAM
zc19950602/pytorch_geometric
Graph Neural Network Library for PyTorch
zc19950602/ranked_reward_rl
Implementation of bin packing problem in reinforcement learning
zc19950602/rtreelib
Pluggable R-tree implementation in pure Python.
zc19950602/Safe-MARL-in-Autonomous-Driving
Safe Multi-Agent Reinforcement Learning to Make decisions in Autonomous Driving.
zc19950602/tianshou
An elegant PyTorch deep reinforcement learning library.
zc19950602/TiZero
Code accompanying the paper "TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play" (AAMAS 2023) 足球游戏智能体