ForceInjection / AI-fundermentalsLinks
AI 基础知识 - GPU 架构、CUDA 编程、大模型基础及AI Agent 相关知识
☆176Updated this week
Alternatives and similar repositories for AI-fundermentals
Users that are interested in AI-fundermentals are comparing it to the libraries listed below
Sorting:
- This repository organizes materials, recordings, and schedules related to AI-infra learning meetings.☆95Updated last week
- A self-learning tutorail for CUDA High Performance Programing.☆690Updated last month
- GLake: optimizing GPU memory management and IO transmission.☆471Updated 4 months ago
- LLM notes, including model inference, transformer model structure, and llm framework code analysis notes.☆804Updated last week
- 一种任务级GPU算力分时调度的高性能深度学习训练平台☆674Updated last year
- how to learn PyTorch and OneFlow☆445Updated last year
- ☆474Updated last week
- KV cache store for distributed LLM inference☆303Updated last month
- ☆317Updated last month
- 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。☆396Updated last month
- Efficient and easy multi-instance LLM serving☆454Updated this week
- The repository has collected a batch of noteworthy MLSys bloggers (Algorithms/Systems)☆263Updated 6 months ago
- This repo is used for archiving my notes, codes and materials of cs learning.☆43Updated last week
- Materials for learning SGLang☆515Updated 2 weeks ago
- CUDA 算子手撕与面试指南☆511Updated 6 months ago
- A prefill & decode disaggregated LLM serving framework with shared GPU memory and fine-grained compute isolation.☆103Updated 2 months ago
- UltraScale Playbook 中文版☆47Updated 4 months ago
- easy cuda code☆79Updated 7 months ago
- 一个手把手教你从零开始编写GPT并训练大语言模型的教程☆82Updated 6 months ago
- Learning Machine Learning, The Chinese Taoist Way☆429Updated 5 years ago
- A light llama-like llm inference framework based on the triton kernel.☆143Updated this week
- 《CUDA编程基础与实践》一书的代码☆127Updated 3 years ago
- RTP-LLM: Alibaba's high-performance LLM inference engine for diverse applications.☆823Updated this week
- Community maintained hardware plugin for vLLM on Ascend☆926Updated this week
- llm theoretical performance analysis tools and support params, flops, memory and latency analysis.☆99Updated 3 weeks ago
- ☆284Updated 9 months ago
- CUDA C 编程权威指南代码实现 包含了书上第二章到第八章的大部分代码实现和作者笔记,全由作者本人手动实现,难免有错误的地方,请大家谨慎参考,非常欢迎对错误的指正。 如果有帮助的话请Star一下,对作者帮助很大,谢谢!☆350Updated 2 years ago
- Hooked CUDA-related dynamic libraries by using automated code generation tools.☆163Updated last year
- FlagScale is a large model toolkit based on open-sourced projects.☆333Updated this week
- Implement custom operators in PyTorch with cuda/c++☆65Updated 2 years ago