fayashi163's Stars
microsoft/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
microsoft/AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
ray-project/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
openai/spinningup
An educational resource to help anyone learn deep reinforcement learning.
thu-ml/tianshou
An elegant PyTorch deep reinforcement learning library.
datawhalechina/self-llm
《开源大模型食用指南》基于Linux环境快速部署开源大模型,更适合**宝宝的部署教程
guofei9987/scikit-opt
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)
datawhalechina/llm-universe
本项目是一个面向小白开发者的大模型应用开发教程,在线阅读地址:https://datawhalechina.github.io/llm-universe/
AI4Finance-Foundation/ElegantRL
Massively Parallel Deep Reinforcement Learning. 🔥
datawhalechina/so-large-lm
大模型基础: 一文了解大模型基础知识
vidalt/HGS-CVRP
Modern implementation of the hybrid genetic search (HGS) algorithm specialized to the capacitated vehicle routing problem (CVRP). This code also includes an additional neighborhood called SWAP*.
Valdecy/pyMetaheuristic
pyMetaheuristic: A Comprehensive Python Library for Optimization
aiplan4eu/unified-planning
The AIPlan4EU Unified Planning Library
jingwenli0312/HCVRP_DRL
This repo implements our paper, "Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem"
Valdecy/pyCombinatorial
A library to solve the TSP (Travelling Salesman Problem) using Exact Algorithms, Heuristics and Metaheuristics : 2-opt; 2.5-opt; 3-opt; 4-opt; 5-opt; 2-opt Stochastic; 2.5-opt Stochastic; 3-opt Stochastic; 4-opt Stochastic; 5-opt Stochastic; Ant Colony Optimization; Bellman-Held-Karp Exact Algorithm; Branch & Bound; BRKGA (Biased Random Key Genetic Algorithm); Brute Force; Cheapest Insertion; Christofides Algorithm; Clarke & Wright (Savings Heuristic); Concave Hull Algorithm; Convex Hull Algorithm; Elastic Net; Extremal Optimization; Farthest Insertion; Genetic Algorithm; GRASP (Greedy Randomized Adaptive Search Procedure); Greedy Karp-Steele Patching; Guided Search; Hopfield Network; Iterated Search; Karp-Steele Patching; Multifragment Heuristic; Nearest Insertion; Nearest Neighbour; Random Insertion; Random Tour; Scatter Search; Simulated Annealing; SOM (Self Organizing Maps); Space Filling Curve (Hilbert); Space Filling Curve (Morton); Space Filling Curve (Sierpinski); Stochastic Hill Climbing; Sweep; Tabu Search; Truncated Branch & Bound; Twice-Around the Tree Algorithm (Double Tree Algorithm); Variable Neighborhood Search.
aibasel/pyperplan
A lightweight STRIPS planner written in Python.
dananau/GTPyhop
A task-planning system based on Pyhop, but generalized to plan for both goals and tasks.
Khixinhxan/vrp_ortools_python
The some customize Vehicle Routing Problem with Ortools and Python
sundw2014/STLPlanning
Path planning from STL (Signal Temporal Logic) specifications
laas/fape
FAPE (Flexible Acting and Planning Environment) is a constraint-based planner for the ANML language.
domschrei/lilotane
Lifted Logic for Task Networks: SAT-driven Planning for Totally-ordered Hierarchical Task Networks (HTN)
aig-upf/temporal-planning
Algorithms for solving temporal planning problems
AI-Planning/macq
Library for action model acquisition from state trace data.
taskplanning/otpl
The Open Task Planning Library
williamshen-nz/STRIPS-HGN
Learning Domain-Independent Planning Heuristics over Hypergraphs (ICAPS'20)
ChenJiangxi/GA-VNS-for-Emergency-Department-doctor-scheduling
Hybrid genetic algorithm and heuristic algorithm of variable neighborhood search problem solve the problem of doctor scheduling in emergency department
anenriquez/mrta
anenriquez/mrta_stn
Libary with Simple Temporal Networks (STN) for representing robot tasks
hzgz17/HGGVNS
Hybrid genetic general variable neighborhood search
QuMuLab/krtoolkit