Alternatives and similar repositories for mlc-zh

Users that are interested in mlc-zh are comparing it to the libraries listed below

• MegEngine / MegCC
  MegCC是一个运行时超轻量，高效，移植简单的深度学习模型编译器
  ☆485Updated 7 months ago
• BBuf / how-to-learn-deep-learning-framework
  how to learn PyTorch and OneFlow
  ☆434Updated last year
• bytedance / ByteTransformer
  optimized BERT transformer inference on NVIDIA GPU. https://arxiv.org/abs/2210.03052
  ☆474Updated last year
• Jack47 / hack-SysML
  The road to hack SysML and become an system expert
  ☆489Updated 8 months ago
• lucasjinreal / AI-Infer-Engine-From-Zero
  关于自建AI推理引擎的手册，从0开始你需要知道的所有事情
  ☆266Updated 2 years ago
• alibaba / BladeDISC
  BladeDISC is an end-to-end DynamIc Shape Compiler project for machine learning workloads.
  ☆873Updated 5 months ago
• BBuf / tvm_mlir_learn
  compiler learning resources collect.
  ☆2,423Updated 3 months ago
• openmlsys / openmlsys-cuda
  Tutorials for writing high-performance GPU operators in AI frameworks.
  ☆130Updated last year
• ifromeast / cuda_learning
  learning how CUDA works
  ☆269Updated 3 months ago
• mlc-ai / notebooks
  ☆207Updated 7 months ago
• Oneflow-Inc / libai
  LiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training
  ☆406Updated last week
• FlagOpen / FlagGems
  FlagGems is an operator library for large language models implemented in the Triton Language.
  ☆573Updated this week
• bytedance / byteir
  A model compilation solution for various hardware
  ☆437Updated last week
• tlc-pack / relax
  ☆194Updated 2 years ago
• RussWong / CUDATutorial
  A CUDA tutorial to make people learn CUDA program from 0
  ☆234Updated 11 months ago
• godweiyang / NN-CUDA-Example
  Several simple examples for popular neural network toolkits calling custom CUDA operators.
  ☆1,481Updated 4 years ago
• tpoisonooo / how-to-optimize-gemm
  row-major matmul optimization
  ☆637Updated last year
• mlc-ai / mlc-en
  ☆418Updated 8 months ago
• Oneflow-Inc / DLPerf
  DeepLearning Framework Performance Profiling Toolkit
  ☆285Updated 3 years ago
• buddy-compiler / buddy-mlir
  An MLIR-based compiler framework bridges DSLs (domain-specific languages) to DSAs (domain-specific architectures).
  ☆599Updated last week
• d2l-ai / d2l-tvm
  Dive into Deep Learning Compiler
  ☆644Updated 3 years ago
• Cjkkkk / CUDA_gemm
  A simple high performance CUDA GEMM implementation.
  ☆380Updated last year
• Yinghan-Li / YHs_Sample
  Yinghan's Code Sample
  ☆330Updated 2 years ago
• BBuf / how-to-optim-algorithm-in-cuda
  how to optimize some algorithm in cuda.
  ☆2,262Updated last week
• Tencent / KsanaLLM
  ☆334Updated 5 months ago
• Eddie-Wang1120 / Professional-CUDA-C-Programming-Code-and-Notes
  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！
  ☆344Updated 2 years ago
• zc911 / MatrixSlow
  A simple deep learning framework in pure python for purpose of learning in DL
  ☆439Updated 4 months ago
• PaddleJitLab / CUDATutorial
  A self-learning tutorail for CUDA High Performance Programing.
  ☆641Updated 2 months ago
• OpenPPL / ppl.nn
  A primitive library for neural network
  ☆1,344Updated 6 months ago
• KEKE046 / mlir-tutorial
  Hands-On Practical MLIR Tutorial
  ☆504Updated last year