hao155's Stars
Greenwicher/Awsome-Project
hichenway/sampling-based-path-planning
This code provides a implementation of RRT and Pruning.
Operations-Research-Science/Ebook-Linear_Programming
benedekrozemberczki/awesome-monte-carlo-tree-search-papers
A curated list of Monte Carlo tree search papers with implementations.
SajadAHMAD1/Chaotic-GSA-for-Engineering-Design-Problems
All nature-inspired algorithms involve two processes namely exploration and exploitation. For getting optimal performance, there should be a proper balance between these processes. Further, the majority of the optimization algorithms suffer from local minima entrapment problem and slow convergence speed. To alleviate these problems, researchers are now using chaotic maps. The Chaotic Gravitational Search Algorithm (CGSA) is a physics-based heuristic algorithm inspired by Newton's gravity principle and laws of motion. It uses 10 chaotic maps for global search and fast convergence speed. Basically, in GSA gravitational constant (G) is utilized for adaptive learning of the agents. For increasing the learning speed of the agents, chaotic maps are added to gravitational constant. The practical applicability of CGSA has been accessed through by applying it to nine Mechanical and Civil engineering design problems which include Welded Beam Design (WBD), Compression Spring Design (CSD), Pressure Vessel Design (PVD), Speed Reducer Design (SRD), Gear Train Design (GTD), Three Bar Truss (TBT), Stepped Cantilever Beam design (SCBD), Multiple Disc Clutch Brake Design (MDCBD), and Hydrodynamic Thrust Bearing Design (HTBD). The CGSA has been compared with seven state of the art stochastic algorithms particularly Constriction Coefficient based Particle Swarm Optimization and Gravitational Search Algorithm (CPSOGSA), Standard Gravitational Search Algorithm (GSA), Classical Particle Swarm Optimization (PSO), Biogeography Based Optimization (BBO), Continuous Genetic Algorithm (GA), Differential Evolution (DE), and Ant Colony Optimization (ACO). The experimental results indicate that CGSA shows efficient performance as compared to other seven participating algorithms.
esa/pykep
PyKEP is a scientific library providing basic tools for research in interplanetary trajectory design.
LianHaiMiao/pytorch-lesson-zh
pytorch 包教不包会
apachecn/pytorch-doc-zh
Pytorch 中文文档
SabakiHQ/Sabaki
An elegant Go board and SGF editor for a more civilized age.
pemami4911/neural-combinatorial-rl-pytorch
PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940
wouterkool/attention-learn-to-route
Attention based model for learning to solve different routing problems
gyunggyung/PyTorch
PyTorch tutorials A to Z
CalculatedContent/attention-tsp
Attention based model for learning to solve the Travelling Salesman Problem
ywk991112/pytorch-chatbot
Pytorch seq2seq chatbot
wmathor/nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
labuladong/fucking-algorithm
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
rafvasq/InverOver
My own implementations of InverOver, Dynamic InverOver, and GSInverOver algorithms in Matlab based on their papers
graykode/nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
vinta/awesome-python
An opinionated list of awesome Python frameworks, libraries, software and resources.
snail-ju/GNN-MCTS-TSP
A Graph Neural Network Assisted Monte Carlo Tree Search Approach to Traveling Salesman Problem
LYuhang/GNN_Review
GNN综述阅读报告
thunlp/GNNPapers
Must-read papers on graph neural networks (GNN)
junxiaosong/AlphaZero_Gomoku
An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
google/or-tools
Google's Operations Research tools:
HuangSecretKey/Python-100-Days
Python - 100天从新手到大师
HuangCongQing/Algorithms_MathModels
【国赛】【美赛】数学建模相关算法 MATLAB实现（2018年初整理）
zhanwen/MathModel
研究生数学建模，本科生数学建模、数学建模竞赛优秀论文，数学建模算法，LaTeX论文模板，算法思维导图，参考书籍，Matlab软件教程，PPT
DRL-CASIA/RMAI2020-Planning
YunlianMoon/reinforcement-learning-algorithms-pytorch
Reinforcement Learning algorithms.
antonio-pgarcia/evoper
Evolutionary Parameter Estimation for Repast Simphony Models in R