Lists (8)
A Series of YOLO
YOLO from train to developC++
Classification
CUDA
Learning Resource
some example of moocs, books, exerciseLLM
Model Development
trained model convertor and development toolsSegmentation
Segmentation ReposStars
A light llama-like llm inference framework based on the triton kernel.
仅需Python基础，从0构建大语言模型；从0逐步构建GLM4\Llama3\RWKV6， 深入理解大模型原理
"RAG-Anything: All-in-One RAG Framework"
中文的C++ Template的教学指南。与知名书籍C++ Templates不同，该系列教程将C++ Templates作为一门图灵完备的语言来讲授，以求帮助读者对Meta-Programming融会贯通。(正在施工中)
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程
Efficient Triton Kernels for LLM Training
🧑🚀 全世界最好的LLM资料总结（语音视频生成、Agent、辅助编程、数据处理、模型训练、模型推理、o1 模型、MCP、小语言模型、视觉语言模型） | Summary of the world's best LLM resources.
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
Awesome-LLM: a curated list of Large Language Model
整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。
使用TensorRT推理GroundingDINO，推理速度提升3倍以上！
Oh my tmux! My self-contained, pretty & versatile tmux configuration made with 💛🩷💙🖤❤️🤍
Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website …
A modular graph-based Retrieval-Augmented Generation (RAG) system
极客时间RAG训练营，RAG 10大组件全面拆解，4个实操项目吃透 RAG 全流程。正如刘焕勇老师所言：RAG的落地，往往是面向业务做RAG，而不是反过来面向RAG做业务。这就是为什么我们需要针对不同场景、不同问题做针对性的调整、优化和定制化。魔鬼全在细节中，我们深入进去探究。
FlagGems is an operator library for large language models implemented in the Triton Language.
No fortress, purely open ground. OpenManus is Coming.
Advanced Quantization Algorithm for LLMs and VLMs, with support for CPU, Intel GPU, CUDA and HPU.
📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.🎉
Efficient and easy multi-instance LLM serving
LLMs-from-scratch项目中文翻译