Everest123pw's Stars
binary-husky/gpt_academic
为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。
gaojingcome/WebServer
C++ Linux WebServer服务器
Snailclimb/JavaGuide
「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试,首选 JavaGuide!
DuGuQiuBai/Java
27天成为Java大神
zhm-real/PathPlanning
Common used path planning algorithms with animations.
keras-rl/keras-rl
Deep Reinforcement Learning for Keras.
rd2coding/Road2Coding
编程之路
dsgiitr/d2l-pytorch
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
d2l-ai/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70多个国家的500多所大学用于教学。
shirgur/PointerNet
Pytorch implementation of Pointer Network
OptMLGroup/VRP-RL
Reinforcement Learning for Solving the Vehicle Routing Problem
pemami4911/neural-combinatorial-rl-pytorch
PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940
mveres01/pytorch-drl4vrp
Implementation of: Nazari, Mohammadreza, et al. "Deep Reinforcement Learning for Solving the Vehicle Routing Problem." arXiv preprint arXiv:1802.04240 (2018).
wan-s17/Simulation-of-UAV-based-edge-data-processing-Dqn-based-path-planning-
pochl/dqn-uav
fangvv/UAV-DDPG
Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"
HKUST-Aerial-Robotics/FUEL
An Efficient Framework for Fast UAV Exploration
PaddlePaddle/PARL
A high-performance distributed training framework for Reinforcement Learning
MorvanZhou/Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
louisnino/RLcode
BorisMuzellec/MissingDataOT
A Pytorch implementation of missing data imputation using optimal transport.
tkipf/gae
Implementation of Graph Auto-Encoders in TensorFlow
benedekrozemberczki/FEATHER
The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".
JetBrains/intellij-community
IntelliJ IDEA Community Edition & IntelliJ Platform
benedekrozemberczki/ClusterGCN
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
Hodaya-Turgeman/MUSAE-Facebook-Page-Page-Network
tkipf/gcn
Implementation of Graph Convolutional Networks in TensorFlow
liun-online/HeCo
The source code of HeCo
PyGCL/PyGCL
PyGCL: A PyTorch Library for Graph Contrastive Learning
ContrastiveSR/Contrastive_Learning_Papers
A list of contrastive Learning papers