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attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

auto-draft

基于GPT4的文献总结工具.

awesome-ai-painting

AI绘画资料合集（包含国内外可使用平台、使用教程、参数教程、部署教程、业界新闻等等） stable diffusion tutorial、disco diffusion tutorial、 AI Platform

chatgpt-web

用 Express 和 Vue3 搭建的 ChatGPT 演示网页

dqn-based-uav-3d_path_planer

Realization of UAV's Track Planning in 3D Urban Environment Based on Reinforcement Learning Algorithm(DQN)

eagle_ptz_cameras

Eagle and EagleSim: Deep-RL for PTZ Cameras

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

gpt_academic

为GPT/GLM提供图形交互界面，特别优化论文阅读润色体验，模块化设计支持自定义快捷按钮&函数插件，支持代码块表格显示，Tex公式双显示，新增Python和C++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，支持清华chatglm等本地模型

hmp2g

moss

An open-source tool-augmented conversational language model from Fudan University

panther

Perception-Aware Trajectory Planner in Dynamic Environments

path-planning-frenet-frame-optimal-trajectory-generation-jmt

This is another attempt using Frenet Frame OTG for the Udacity ND path planning project (dynamic street scenarios)

pathplanning

Deep Reinforcement Learning based Adaptive Real-time Path Planning for UAV

planning-and-decision-making

RRT*-MPC path planning for spacecraft navigation in dynamic environment. Graded project for the ETH course "Planning and Decision Making for Autonomous Robots".

platooning-f1tenth

F1Tenth Simulation Code: Platooning, Computer Vision, Reinforcement Learning, Path Planning

pygat

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

real-time-path-planning-with-sepso

Efficient Real-time Path Planning with SEPSO in Dynamic Scenarios

rll_path_planning_project

robotic-navigation

This repo implemented the core technology of the self-driving car, including the basic concepts such as path tracking, path planning, SLAM, etc., and deep learning techniques such as computer vision and reinforcement learning. Finally, we practiced with NVIDIA JetBot in both the simulator and the real world.

s2client-proto

StarCraft II Client - protocol definitions used to communicate with StarCraft II.

starcraft

Implementations of QMIX, VDN, COMA, QTRAN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

transformer

A Pytorch Implementation of "Attention is All You Need" and "Weighted Transformer Network for Machine Translation"

transformer-1

transformer，机器翻译，中文--英文