A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.

Puzzles for learning Triton

Material for gpu-mode lectures

An Open Phone Agent Model & Framework. Unlocking the AI Phone for Everyone

cuTile is a programming model for writing parallel kernels for NVIDIA GPUs

Sample codes for my CUDA programming book

📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.🎉

compiler learning resources collect.

Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

Codes & examples for "CUDA - From Correctness to Performance"

go语言代码分析 工具

「Go语言学习指南」一份涵盖大部分 Golang 程序员所需要掌握的核心知识，拥有 Go语言教程、Go开源书籍、Go语言入门教程、Go语言学习路线。零基础学习 Go语言、Go编程，首选 GoGuide。

南邮CMCC自动连接脚本

Modeling, Simulation, and Decision Making: Cellular Automata, Networks, and Monte Carlo simulations.

Simulation Algorithm for Stochastic CTCA (Continuous Traffic Cellular Automata) Model with adjustable boundary conditions (Open boundary or Periodic boundary), multi-lane, multi-vehicle type, and i…

Reinforcement Learning of Intelligent Agent: QLearning

model-free reinforcement learning (q-learning) of a car to drive on a track

机器人导航--人工势场法及其改进

小米运动刷步数（微信支付宝）支持邮箱登录

Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

[CVPR 2023] Code for PConv and FasterNet

HybridNets: End-to-End Perception Network

An implementation of Nagel-Schreckenberg vehicular traffic automaton

三车道交通流元胞自动机matlab实现

This is the official implementation of 2023 ICCV paper "EmoSet: A large-scale visual emotion dataset with rich attributes".

Simulations of Traffic System Based on the Theory of Cellular Automaton / 基于元胞自动机的交通系统仿真

A microscopic traffic simulation in Python

fix outdated python bugs