Alternatives and similar repositories for handout

Users that are interested in handout are comparing it to the libraries listed below

• LearningInfiniTensor / learning-cxx
  ☆68Updated 11 months ago
• xgqdut2016 / hpc2torch
  ☆30Updated last week
• InfiniTensor / InfiniLM-Rust
  ☆125Updated 2 months ago
• YdrMaster / notebook
  笔记
  ☆49Updated 5 months ago
• xgqdut2016 / cuda_code
  easy cuda code
  ☆93Updated last year
• flagos-ai / FlagTree
  FlagTree is a unified compiler supporting multiple AI chip backends for custom Deep Learning operations, which is forked from triton-lang…
  ☆155Updated last week
• InfiniTensor / InfiniTensor
  ☆281Updated 2 months ago
• InfiniTensor / RefactorGraph
  分层解耦的深度学习推理引擎
  ☆79Updated 10 months ago
• GetUpEarlier / minit
  ☆28Updated last year
• phonism / genesis
  Gensis is a lightweight deep learning framework written from scratch in Python, with Triton as its backend for high-performance computing…
  ☆37Updated 3 weeks ago
• hyperai / triton-cn
  Triton Documentation in Chinese Simplified / Triton 中文文档
  ☆97Updated 3 weeks ago
• piood / MySysY2RV
  北大编译课程实践，独立完成的C语言子集SysY编译器，实现了从C语言编译到Koopa IR，再从Koopa IR编译到RISC-V汇编的实现
  ☆34Updated last year
• caiwanxianhust / FasterLLaMA
  使用 CUDA C++ 实现的 llama 模型推理框架
  ☆63Updated last year
• iiicp / subc-llvm
  实现一个子集c编译器，后端基于llvm20
  ☆11Updated 10 months ago
• AdvancedCompiler / AdvancedCompiler
  先进编译实验室的个人主页
  ☆187Updated 3 months ago
• tfruan2000 / mlsys-study-note
  My study note for mlsys
  ☆15Updated last year
• keith2018 / TinyGPT
  Tiny C++ LLM inference implementation from scratch
  ☆97Updated last month
• InfiniTensor / operators
  算子库
  ☆17Updated 6 months ago
• frankwang0818 / AI_compiler_development_guide
  Free resource for the book AI Compiler Development Guide
  ☆49Updated 3 years ago
• LDLINGLINGLING / nano_vllm_note
  注释的nano_vllm仓库，并且完成了MiniCPM4的适配以及注册新模型的功能
  ☆139Updated 5 months ago
• InfiniTensor / ninetoothed
  A domain-specific language (DSL) based on Triton but providing higher-level abstractions.
  ☆39Updated this week
• YuxueYang1204 / CudaDemo
  Implement custom operators in PyTorch with cuda/c++
  ☆76Updated 3 years ago
• toyaix / TritonLLM
  LLM Inference via Triton (Flexible & Modular): Focused on Kernel Optimization using CUBIN binaries, Starting from gpt-oss Model
  ☆63Updated 2 months ago
• LearningInfiniTensor / TinyInfiniTensor
  ☆41Updated last year
• OpenBMB / CPM.cu
  CPM.cu is a lightweight, high-performance CUDA implementation for LLMs, optimized for end-device inference and featuring cutting-edge tec…
  ☆216Updated 3 months ago
• dsl-learn / LeetGPU
  LeetGPU Solutions
  ☆95Updated 3 months ago
• gogongxt / nano-sglang
  ☆109Updated this week
• LearningInfiniTensor / learning-lm-rs
  ☆67Updated last year
• array2d / deepx
  Large-scale Auto-Distributed Training/Inference Unified Framework | Memory-Compute-Control Decoupled Architecture | Multi-language SDK & …
  ☆55Updated 5 months ago
• xlite-dev / ffpa-attn
  🤖FFPA: Extend FlashAttention-2 with Split-D, ~O(1) SRAM complexity for large headdim, 1.8x~3x↑🎉 vs SDPA EA.
  ☆242Updated last month