LLM notes, including model inference, transformer model structure, and llm framework code analysis notes.
☆891Aug 19, 2026Updated last month
Alternatives and similar repositories for llm_note
Users that are interested in llm_note are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A light llama-like llm inference framework based on the triton kernel.☆194Sep 18, 2026Updated last week
- 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。☆526Aug 31, 2026Updated 3 weeks ago
- how to optimize some algorithm in cuda.☆3,291Updated this week
- Open-source book with Modern CUDA Learn Notes for Beginners, includes FP16/BF16, FP8, HGEMM, FlashAttention, CuTe, etc.☆12,010Updated this week
- 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。☆575Oct 28, 2025Updated 11 months ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- 📚A curated list of Awesome LLM/VLM Inference Papers with Codes: Flash-Attention, Paged-Attention, WINT8/4, Parallelism, etc.🎉☆5,515Aug 14, 2026Updated last month
- llm theoretical performance analysis tools and support params, flops, memory and latency analysis.☆123Jul 11, 2025Updated last year
- ☆156Jul 4, 2025Updated last year
- 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 st…☆3,502Jun 22, 2025Updated last year
- My learning notes for ML SYS.☆7,407Sep 20, 2026Updated last week
- 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☆15,159Jun 14, 2026Updated 3 months ago
- 本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）☆25,115Jul 19, 2026Updated 2 months ago
- Material for gpu-mode lectures☆6,658Sep 9, 2026Updated 2 weeks ago
- Kernel Library for Large Headdim Attention (64~1024, BF16/FP8/FP4), 1.5x~15x↑ vs PyTorch SDPA.☆334Updated this week
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- 企业级RAG系统从入门到精通☆717Jun 25, 2025Updated last year
- 使用 CUDA C++ 实现的 llama 模型推理框架☆63Nov 8, 2024Updated last year
- FlashInfer: Kernel Library for LLM Serving☆6,510Updated this week
- CUDA 算子手撕与面试指南☆1,127Aug 23, 2025Updated last year
- 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☆17,905Sep 3, 2025Updated last year
- compiler learning resources collect.☆2,779May 20, 2026Updated 4 months ago
- LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalabili…☆4,303Updated this week
- A self-learning tutorail for CUDA High Performance Programing.☆1,122Jan 14, 2026Updated 8 months ago
- Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.☆6,668Updated this week
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- 《Machine Learning Systems: Design and Implementation》 (V2 is launching soon）☆4,862Mar 15, 2026Updated 6 months ago
- how to learn PyTorch and OneFlow☆502Aug 13, 2026Updated last month
- learning how CUDA works☆407Mar 3, 2025Updated last year
- This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several…☆1,363Jul 29, 2023Updated 3 years ago
- Nano vLLM☆15,636Apr 26, 2026Updated 5 months ago
- 该系列的目的是让读者可以在基础的pytorch上，不依赖任何其他现成的外部库，从零开始理解并实现一个大语言模型的所有组成部分，以及训练微调代码，因此读者仅需python，pytorch和最基础深度学习背景知识即可。☆385Aug 28, 2025Updated last year
- Penn CIS 5650 (GPU Programming and Architecture) Final Project☆46Dec 11, 2023Updated 2 years ago
- Puzzles for learning Triton, play it with minimal environment configuration!☆749Mar 17, 2026Updated 6 months ago
- Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels☆7,487Updated this week
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- 一个轻量化的大模型推理框架☆23May 26, 2025Updated last year
- ☆53Mar 4, 2026Updated 6 months ago
- Analyze the inference of Large Language Models (LLMs). Analyze aspects like computation, storage, transmission, and hardware roofline mod…☆681Sep 11, 2024Updated 2 years ago
- 从零实现一个小参数量中文大语言模型。☆1,089Aug 22, 2024Updated 2 years ago
- SGLang is a high-performance serving framework for large language models and multimodal models.☆36,481Updated this week
- An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Asy…☆10,045Sep 17, 2026Updated last week
- Quantize yolov5 using pytorch_quantization.🚀🚀🚀☆15Oct 24, 2023Updated 2 years ago