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cv_note. 记录cv算法工程师的成长之路,分享计算机视觉和模型压缩部署技术栈笔记。https://harleyszhang.github.io/cv_note/
★ 2.6kllm_note. LLM notes, including model inference, transformer model structure, and llm framework code analysis notes.
★ 882dl_note. 深度学习系统笔记,包含深度学习数学基础知识、神经网络基础部件详解、深度学习炼丹策略、模型压缩算法详解。
★ 521lite_llama. A light llama-like llm inference framework based on the triton kernel.
★ 188llm_counts. llm theoretical performance analysis tools and support params, flops, memory and latency analysis.
★ 119cv-books. These are open and classic books for computer version engineers, it can help us from entry to practice.
★ 114detect_steel_number. DCIC 钢筋数量AI识别 baseline 0.98+。
★ 71data_analysis_notes. 数据分析学习笔记,包括numpy、pandas、matplotlib、Seaborn库学习笔记,以及数据挖掘及分析实例
★ 25kaggle_humpback_whale_identification. 68th palce solution in Kaggle Humpback Whale Identification.
★ 11opencv_samples. 一些采用opencv3图像处理库做的一些项目,有检测人脸位置、人脸特效、头顶加LOGO等
★ 11harleyszhang.github.io. 🧗♂️ harleyszhang 的个人博客
★ 6eat_algorithm. Data structure algorithm notes and leetcode algorithm solutions and example code.
★ 6image_classification_project. kaggle 图像分类比赛项目,提供了项目 bsaeline。
★ 4HarleysZhang. :octocat: Hello there! This repository is for the welcome message on my Github Profile.
★ 2physics-animation. 中学生物理动画学习网站
★ 1hello-agents. 📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
★ 65kskills. Skills for Real Engineers. Straight from my .claude directory.
★ 165kSimuMax. a static analytical model for LLM distributed training
★ 162evergreen-skills-developers. List of evergreen skills, based on software development best practices & cross-framework principles, that should serve as a fair assessment of skilled software engineers / developers
★ 2.3kCUDA-Learn-Notes. 📚200+ Tensor/CUDA Cores Kernels, ⚡️flash-attn-mma, ⚡️hgemm with WMMA, MMA and CuTe (98%~100% TFLOPS of cuBLAS/FA2 🎉🎉).
★ 88DiffSynth-Engine. Python
★ 424xllm. A high-performance inference engine for LLM, VLM, DiT and REC models, optimized for diverse AI accelerators. It is hosted in OpenAtom Foundation.
★ 1.5kskills. Public repository for Agent Skills
★ 160kplayground. playground tasks for newcomers
★ 5VibeKernel. Benchmarking coding-agent paradigms (plain prompt, /goal, skills, autoresearch...) on one fixed task: hand-writing the fastest fp16 GEMM kernel for the NVIDIA A100.
★ 10deepseek-v4-deep-dive. DeepSeek V4 深度解读 · 73 页 PPT + 20 分钟讲稿 + 发布动画 · Designed with huashu-design
★ 252OriginDL. Implement a Pytorch-like DL library in C++ from scratch, step by step
★ 329awesome-claude-skills. A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows
★ 67kclaude-mem. Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More
★ 87ktorchtitan. A PyTorch native platform for training generative AI models
★ 5.5kaccel-sim-framework. This is the top-level repository for the Accel-Sim framework.
★ 619LPLB. An early research stage expert-parallel load balancer for MoE models based on linear programming.
★ 512LLMCompass. Python
★ 259autoclip. AutoClip : AI-powered video clipping and highlight generation · 一款智能高光提取与剪辑的二创工具
★ 6kFunClip. FunASR-powered video transcription, subtitle generation, and LLM-assisted clipping tool with a local Gradio UI.
★ 5.9kNarratoAI. 利用AI大模型,一键解说并剪辑视频; Using AI models to automatically provide commentary and edit videos with a single click.
★ 10kcache-dit. A PyTorch-native inference engine with cache, parallelism, quantization and cpu offload for DiTs.
★ 1.2keasy-vibe. 💻 vibe coding 2026 | Your First Modern Coding course beginners to master step by step.
★ 18ksupervision. We write your reusable computer vision tools. 💜
★ 48kmini-coding-agent. Minimal and readable coding agent harness implementation in Python to explain the core components of coding agents.
★ 1kclaw-code. An agent-managed museum exhibit, built in Rust with Gajae-Code / LazyCodex — developed and maintained with no human intervention.
★ 195kvllm. A high-throughput and memory-efficient inference and serving engine for LLMs
★ 86kAI-Infra-Auto-Driven-SKILLS. Python
★ 661how-claude-code-works. Deep dive into Claude Code internals — architecture, agent loop, context engineering, and more. / 深入解析 Claude Code 源码:架构、Agent 循环、上下文工程、工具系统等
★ 3.1kMSA. Memory Sparse Attention - A scalable, end-to-end trainable latent-memory framework for 100M-token contexts.
★ 3.5kautoresearch. AI agents running research on single-GPU nanochat training automatically
★ 91kLLMs-from-scratch. Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
★ 99ktorchvista. Interactive Pytorch forward pass visualization in notebooks
★ 756mfu_calculation. A simple calculation for LLM MFU.
★ 78InfraTech. 分享AI Infra知识&代码练习:PyTorch、vLLM/SGLang、slime/vime框架入门⚡️、性能加速🚀、大模型基础🧠、AI软硬件🔧等
★ 2.9kslime. slime is an LLM post-training framework for RL Scaling.
★ 7.4kTelegramGroup. 2026最新悄咪咪收集的10000+个Telegram群合集、tg导航,附全网最有趣好用的机器人BOT🤖【tg10000.com】
★ 5.1kCUDATutorial. A self-learning tutorail for CUDA High Performance Programing.
★ 1kopenclaw. Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
★ 383kvllm-omni. A framework for efficient model inference with omni-modality models
★ 5.5khpc-ops. High Performance LLM Inference Operator Library
★ 1ktilelang. Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels
★ 6.6knanochat. The best ChatGPT that $100 can buy.
★ 56kDLPerf. DeepLearning Framework Performance Profiling Toolkit
★ 292apex_plus. APEX+ is an LLM Serving Simulator
★ 49vidur. Accurate, large-scale, and extensible simulator for LLM inference Systems
★ 640SCALE-Sim. Repository to host and maintain SCALE-Sim code
★ 492aiconfigurator. Offline optimization of your disaggregated Dynamo graph
★ 358DPCIManager. Simple OS X app for viewing PCI hardware info
★ 142pcileech-fpga. FPGA modules used together with the PCILeech Direct Memory Access (DMA) Attack Software
★ 1.8kpcileech-wifi. pcileech-fpga with wireless card emulation
★ 772PCILeech-DMA-Firmware. The last Pcileech DMA CFW guide you will ever need. Sponsored by DMAPolice.com
★ 587nano-vllm. Nano vLLM
★ 14kCortex. 从零构建大模型:从预训练到RLHF的完整实践
★ 2.7kbuild-your-claude-code-from-scratch. Build a Claude Code–like CLI coding agent from scratch.
★ 174reefy. Turn your PC into a Reef - run OpenClaw, Ollama, and more on your own PC. Private. Local. Open source. Simple.
★ 456picotron_tutorial. Python
★ 250picotron. Minimalistic 4D-parallelism distributed training framework for education purpose
★ 2.2kYJYpaper. 一个用来记录武汉大学杨景媛论文问题的仓库
★ 3.6kDeepSeek_Simulator. Python
★ 100quarkdown. 🪐 Markdown with superpowers: from ideas to papers, presentations, websites, books, and knowledge bases.
★ 16kGPUs-Specs. Summary of the Specs of Commonly Used GPUs for Training and Inference of LLM
★ 78SimAI. Python
★ 1ksgl-learning-materials. Materials for learning SGLang
★ 853DeepSeek-MoE. DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
★ 1.9kbitsandbytes. Accessible large language models via k-bit quantization for PyTorch.
★ 8.3kshallowsim. DeepSeek-V3/R1 inference performance simulator
★ 194codex. Lightweight coding agent that runs in your terminal
★ 97klite_lang. 一个轻量化的大模型推理框架
★ 23AderXCoding. 介绍各类语言,库,系统编程以及算法的学习
★ 388torch_mlu. Python
★ 57torch_musa. torch_musa is an open source repository based on PyTorch, which can make full use of the super computing power of MooreThreads graphics cards.
★ 501pytorch. Tensors and Dynamic neural networks in Python with strong GPU acceleration
★ 102kminiforge. A conda-forge distribution.
★ 10kCThreadPool. 【A simple used C++ threadpool】一个简单好用,性能优异的,跨平台的C++线程池。欢迎 star & fork
★ 426Awesome-ML-SYS-Tutorial. My learning notes for ML SYS.
★ 6.7kDeepEP. DeepEP: an efficient expert-parallel communication library
★ 9.8kDeepSeek-V3. Python
★ 104kLLMSpeculativeSampling. Fast inference from large lauguage models via speculative decoding
★ 918LLMs-Zero-to-Hero. 从无名小卒到大模型(LLM)大英雄~ 欢迎关注后续!!!
★ 2.2kOptimizeDGEMM. C
★ 11deepseekv2-profile. Jupyter Notebook
★ 157CUDA_Kernel_Samples. CUDA 算子手撕与面试指南
★ 1kLeetCUDA. 📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.🎉
★ 12kLLM-Viewer. Analyze the inference of Large Language Models (LLMs). Analyze aspects like computation, storage, transmission, and hardware roofline model in a user-friendly interface.
★ 660vllm-musa. A high-throughput and memory-efficient inference and serving engine for LLMs
★ 106VideoPipe. A cross-platform video structuring (video analysis) framework. If you find it helpful, please give it a star: ) 跨平台的视频结构化(视频分析)框架,觉得有帮助的请给个星星 : )
★ 2.9kThunderKittens. Tile primitives for speedy kernels
★ 3.5kdeveloper-roadmap. Interactive roadmaps, guides and other educational content to help developers grow in their careers.
★ 360kgenesis-world. Simulation platform for general-purpose robotics & embodied AI learning.
★ 30koptimize_softmax. Optimize softmax in triton in many cases
★ 24FlashAttention20Triton. Triton implementation of Flash Attention2.0
★ 54llava-handbook. 对llava官方代码的一些学习笔记
★ 29torchinfo. View model summaries in PyTorch!
★ 2.9kml-engineering. Machine Learning Engineering Open Book
★ 18kLLaVA. [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
★ 25kllama-models. Utilities intended for use with Llama models.
★ 7.7ksglang. SGLang is a high-performance serving framework for large language models and multimodal models.
★ 30knndeploy. 一款简单易用和高性能的AI部署框架 | An Easy-to-Use and High-Performance AI Deployment Framework
★ 1.8kmnn-llm. llm deploy project based mnn. This project has merged into MNN.
★ 1.6kawesome-compression. 模型压缩的小白入门教程,PDF下载地址 https://github.com/datawhalechina/awesome-compression/releases
★ 374TransformerEngine. A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, to provide better performance with lower memory utilization in both training and inference.
★ 3.4kAI-Benchmark. RISCV C and Triton AI-Benchmark
★ 25triton-viz. Python
★ 347simple_flash_attention. Simple version of Flash-Attention(include V1&V2&Flash-Decoding)
★ 5Thinking-Claude. Let your Claude able to think
★ 17kstreaming-llm. Efficient Streaming Language Models with Attention Sinks
★ 1Efficient-LLM-Inferencing-on-GPUs. Penn CIS 5650 (GPU Programming and Architecture) Final Project
★ 44streaming-llm. [ICLR 2024] Efficient Streaming Language Models with Attention Sinks
★ 7.2kflash-attention-minimal. Flash Attention in ~100 lines of CUDA (forward pass only)
★ 1.2kFlashAttention. Flash Attention implementation
★ 1flashattention2-custom-mask. Triton implementation of FlashAttention2 that adds Custom Masks.
★ 176ModelServer. Efficient, Flexible, and Highly Fault-Tolerant Model Service Management Based on SGLang
★ 63Liger-Kernel. Efficient Triton Kernels for LLM Training
★ 6.5kGPTQ-triton. GPTQ inference Triton kernel
★ 323llm-awq. [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
★ 3.6ksmoothquant. [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
★ 1.7kharleyszhang.github.io. 🧗♂️ harleyszhang 的个人博客
★ 6giscus. A commenting system powered by GitHub Discussions. :octocat: :speech_balloon: :gem:
★ 12krope-triton. Python
★ 15flashinfer. FlashInfer: Kernel Library for LLM Serving
★ 5.9kopen-llm-components. A repo showcasing the implementation of various components of open-source LLMs
★ 3cuda-course. Cuda
★ 3.8kcuda_programming. Code from the "CUDA Crash Course" YouTube series by CoffeeBeforeArch
★ 964kernl. Kernl lets you run PyTorch transformer models several times faster on GPU with a single line of code, and is designed to be easily hackable.
★ 1.6klite_llama. A light llama-like llm inference framework based on the triton kernel.
★ 188pytorch-llama. LLaMA 2 implemented from scratch in PyTorch
★ 372KuiperLLama. 校招、秋招、春招、实习好项目,带你从零动手实现支持LLama2/3和Qwen2.5的大模型推理框架。
★ 549online-softmax. Benchmark code for the "Online normalizer calculation for softmax" paper
★ 110FlashAttention20. Get down and dirty with FlashAttention2.0 in pytorch, plug in and play no complex CUDA kernels
★ 115eat_algorithm. Data structure algorithm notes and leetcode algorithm solutions and example code.
★ 6CUDATutorial. A CUDA tutorial to make people learn CUDA program from 0
★ 279cuda-samples. Samples for CUDA Developers which demonstrates features in CUDA Toolkit
★ 9.4ktriton. Development repository for the Triton language and compiler
★ 20kLLMRoofline. Compare different hardware platforms via the Roofline Model for LLM inference tasks.
★ 123llm_interview_note. 主要记录大语言大模型(LLMs) 算法(应用)工程师相关的知识及面试题
★ 15kllm_note. LLM notes, including model inference, transformer model structure, and llm framework code analysis notes.
★ 882resource-stream. GPU programming related news and material links
★ 2.2kollama. Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
★ 176kJARVIS. JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
★ 25kCpp_Primer_Practice. 搞定C++:punch:。C++ Primer 中文版第5版学习仓库,包括笔记和课后练习答案。
★ 8.7kLightLLM. LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.
★ 4.2kdigital_video_introduction. A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
★ 16kSoftware-Designer. 软考中级教程-软件设计师
★ 1.9kbce-qianfan-sdk. Provide best practices for LMOps, as well as elegant and convenient access to the features of the Qianfan MaaS Platform. (提供大模型工具链最佳实践,以及优雅且便捷地访问千帆大模型平台)
★ 385AISystem. AISystem 主要是指AI系统,包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术
★ 17kawesome-chatgpt-prompts-zh. ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。
★ 61kTensorRT-LLM. TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.
★ 14kconcurrency-programming-via-rust. Rust
★ 1.3krust-course. 什么?你敢放心的把后背交给 AI? 我赌你不敢,那就来学学 AI 时代最酷、最安全、最快的语言吧。本书拥有全面且深入的讲解、生动贴切的示例、德芙般丝滑的内容,这可能是目前最用心的 Rust 中文学习教程 / Book
★ 31kpydata-book. Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
★ 25kWeb-Dev-For-Beginners. 24 Lessons, 12 Weeks, Get Started as a Web Developer
★ 96knanoPyC. Python
★ 69KuiperInfer. 校招、秋招、春招、实习好项目!带你从零实现一个高性能的深度学习推理库,支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
★ 3.5kllm_counts. llm theoretical performance analysis tools and support params, flops, memory and latency analysis.
★ 119llm-analysis. Latency and Memory Analysis of Transformer Models for Training and Inference
★ 488dl_note. 深度学习系统笔记,包含深度学习数学基础知识、神经网络基础部件详解、深度学习炼丹策略、模型压缩算法详解。
★ 521Awesome-LLM-Compression. Awesome LLM compression research papers and tools.
★ 1.8kfastllm. fastllm是后端无依赖的高性能大模型推理库。同时支持张量并行推理稠密模型和混合模式推理MOE模型,任意10G以上显卡即可推理满血DeepSeek。双路9004/9005服务器+单显卡部署DeepSeek满血满精度原版模型,单并发20tps;INT4量化模型单并发30tps,多并发可达60+。
★ 4.8kunderstand-prompt. 【🔞🔞🔞 内含不适合未成年人阅读的图片】基于我擅长的编程、绘画、写作展开的 AI 探索和总结:StableDiffusion 是一种强大的图像生成模型,能够通过对一张图片进行演化来生成新的图片。ChatGPT 是一个基于 Transformer 的语言生成模型,它能够自动为输入的主题生成合适的文章。而 Github Copilot 是一个智能编程助手,能够加速日常编程活动。
★ 5.5kAI-For-Beginners. 12 Weeks, 24 Lessons, AI for All!
★ 52kRWKV-Runner. A RWKV management and startup tool, full automation, only 8MB. And provides an interface compatible with the OpenAI API. RWKV is a large language model that is fully open source and available for commercial use.
★ 6.4kgpt-2-Pytorch. Simple Text-Generator with OpenAI gpt-2 Pytorch Implementation
★ 1kPrompt-Engineering-Tutior. 🎡 Pompt 提示词工程师入门指南 ~视频字幕+代码资料 [( Python、Golang、NodeJs ) x ( 中文、英文 )]
★ 104transformers-bloom-inference. Fast Inference Solutions for BLOOM
★ 566Prompt-Engineering-Guide-Chinese. Prompt工程师指南,源自英文版,但增加了AIGC的prompt部分,为了降低同学们的学习门槛,翻译更新
★ 1.4kLuotuo-Chinese-LLM. 骆驼(Luotuo): Open Sourced Chinese Language Models. Developed by 陈启源 @ 华中师范大学 & 李鲁鲁 @ 商汤科技 & 冷子昂 @ 商汤科技
★ 3.6kChinese-LLaMA-Alpaca. 中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
★ 19kOpenChatKit. Python
★ 9ktransformers. 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
★ 162kDeepSpeed. DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
★ 43kLangchain-Chatchat. Langchain-Chatchat(原Langchain-ChatGLM)基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain
★ 38khow-to-optim-algorithm-in-cuda. how to optimize some algorithm in cuda.
★ 3.1kTensorRT. NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
★ 13kBELLE. BELLE: Be Everyone's Large Language model Engine(开源中文对话大模型)
★ 8.3kannotated_deep_learning_paper_implementations. 🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
★ 67kMQBench. Model Quantization Benchmark
★ 870paper-reading. 深度学习经典、新论文逐段精读
★ 34kFasterTransformer. Transformer related optimization, including BERT, GPT
★ 6.4kllama. Inference code for Llama models
★ 60kllama.cpp. LLM inference in C/C++
★ 120kPyTorch-Tutorial-2nd. 《Pytorch实用教程》(第二版)无论是零基础入门,还是CV、NLP、LLM项目应用,或是进阶工程化部署落地,在这里都有。相信在本书的帮助下,读者将能够轻松掌握 PyTorch 的使用,成为一名优秀的深度学习工程师。
★ 4.6kSOLOV2_ncnn. the C++ version of solov2 with ncnn
★ 77VideosShareByAliyun. 🤪动漫、电视剧、电影、纪录片分享by阿里云盘🫡
★ 408awesome-emdl. Embedded and mobile deep learning research resources
★ 769hexo-theme-Journal. 隻言片語・於此匯聚 – Moments piled up. Live demo →
★ 325md. ✍ WeChat Markdown Editor | 一款高度简洁的微信 Markdown 编辑器:支持 Markdown 语法、自定义主题样式、内容管理、多图床、AI 助手等特性
★ 13kconvnet-burden. Memory consumption and FLOP count estimates for convnets
★ 930AI-System. System for AI Education Resource.
★ 4.3kMSRA-USTC-AISystemProject-2021. To summit MSRA AI System Project
★ 1Cheatsheets. Evolving Cheatsheets for computer languages/software/OS like Python, Numpy, Pandas, Java, Linux, Terminal, Gentoo
★ 95Model-Compression-Demo. 模型压缩demo(剪枝、量化、知识蒸馏)
★ 79nni. An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
★ 14kModel-Compression. Model Compression 1. Pruning(BN Pruning) 2. Knowledge Distillation (Hinton) 3. Quantization (MNN) 4. Deployment (MNN)
★ 80langchain. The agent engineering platform.
★ 142ktinynn. A lightweight deep learning library
★ 391pytorch-deep-learning. Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
★ 18kai-edu. AI education materials for Chinese students, teachers and IT professionals.
★ 14kultralytics. Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
★ 59kmodel-metrics-plot. 🔨🔨🔨(mmplot)used to draw graphs of multiple index parameters such as algorithm accuracy and speed of multiple deep learning models.
★ 87