zsxxxx98

-PyTorch-

【PyTorch】手把手教你跑通第一个神经网络

ALNS-1

Adaptive large neighbourhood search (and more!) in Python.

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

cvrp-decomposition

Decomposition Strategies for Vehicle Routing Heuristics

cvxpy

A Python-embedded modeling language for convex optimization problems.

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。

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

DRL

Deep Reinforcement Learning

DSVRPTW_PPO

DRL for Dynamic Stochastic Vehicle Routing Problem with Time Window

DVRPSR_PPO

DRL for Dynamic Vehicle Routing Problem with stochastic customer requests

Extension_of_the_vehicle_routing_problem

This repository will do the vehicle routing problem and its extension, including the implementation of models and mainstream algorithms.

keras

Deep Learning for humans

OlympusEye

or-tools

Google's Operations Research tools:

PDPTW

Adaptive Large Neighborhood Search heuristic (ALNS) algorithm for PDPTW.

ppo-implementation-details

The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization

PPOxFamily

PPO x Family DRL Tutorial Course（决策智能入门级公开课：8节课帮你盘清算法理论，理顺代码逻辑，玩转决策AI应用实践 ）

py-ga-VRPTW

A Python Implementation of a Genetic Algorithm-based Solution to Vehicle Routing Problem with Time Windows

Python

All Algorithms implemented in Python

PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

PyTorch-Tutorial

Build your neural network easy and fast, 莫烦Python中文教学

Q-learning-based-optimal-path

Q-learning based optimal path algorithm is a Reinforcement Learning algorithm

Reinforcement-Learning

kinds of reinforcement learning model by Pytorch

Reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

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)

SMAC3

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

The-Art-of-Linear-Algebra

Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"

VRP-DACT

This repo implements our paper, "Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer", which has been accepted at NeurIPS 2021.

vrp-solver

xingtian

xingtian is a componentized library for the development and verification of reinforcement learning algorithms