Alternatives and similar repositories for mlc-zh

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

• BBuf / how-to-learn-deep-learning-framework
  how to learn PyTorch and OneFlow
  ☆449Updated last year
• Jack47 / hack-SysML
  The road to hack SysML and become an system expert
  ☆498Updated 10 months ago
• 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
  ☆487Updated 10 months ago
• bytedance / ByteTransformer
  optimized BERT transformer inference on NVIDIA GPU. https://arxiv.org/abs/2210.03052
  ☆475Updated last year
• alibaba / BladeDISC
  BladeDISC is an end-to-end DynamIc Shape Compiler project for machine learning workloads.
  ☆886Updated 7 months ago
• tpoisonooo / how-to-optimize-gemm
  row-major matmul optimization
  ☆653Updated last year
• FlagOpen / FlagGems
  FlagGems is an operator library for large language models implemented in the Triton Language.
  ☆648Updated this week
• mlc-ai / notebooks
  ☆208Updated 9 months ago
• ifromeast / cuda_learning
  learning how CUDA works
  ☆300Updated 5 months ago
• bytedance / byteir
  A model compilation solution for various hardware
  ☆443Updated this week
• openmlsys / openmlsys-cuda
  Tutorials for writing high-performance GPU operators in AI frameworks.
  ☆130Updated 2 years ago
• Cjkkkk / CUDA_gemm
  A simple high performance CUDA GEMM implementation.
  ☆394Updated last year
• Liu-xiandong / How_to_optimize_in_GPU
  This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several…
  ☆1,129Updated 2 years ago
• PaddleJitLab / CUDATutorial
  A self-learning tutorail for CUDA High Performance Programing.
  ☆712Updated last month
• LB-Yu / tinyflow
  A simple deep learning framework that supports automatic differentiation and GPU acceleration.
  ☆59Updated 2 years ago
• AyakaGEMM / Hands-on-GEMM
  ☆138Updated last year
• Oneflow-Inc / DLPerf
  DeepLearning Framework Performance Profiling Toolkit
  ☆287Updated 3 years ago
• eedalong / ECE408
  Code base and slides for ECE408：Applied Parallel Programming On GPU.
  ☆133Updated 4 years ago
• godweiyang / NN-CUDA-Example
  Several simple examples for popular neural network toolkits calling custom CUDA operators.
  ☆1,498Updated 4 years ago
• RussWong / CUDATutorial
  A CUDA tutorial to make people learn CUDA program from 0
  ☆248Updated last year
• Oneflow-Inc / libai
  LiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training
  ☆408Updated 3 weeks ago
• zc911 / MatrixSlow
  A simple deep learning framework in pure python for purpose of learning in DL
  ☆445Updated 6 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
  ☆268Updated 2 years ago
• Yinghan-Li / YHs_Sample
  Yinghan's Code Sample
  ☆344Updated 3 years ago
• buddy-compiler / buddy-mlir
  An MLIR-based compiler framework bridges DSLs (domain-specific languages) to DSAs (domain-specific architectures).
  ☆617Updated last week
• 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！
  ☆353Updated 2 years ago
• XiaoSong9905 / CUDA-Optimization-Guide
  Xiao's CUDA Optimization Guide [NO LONGER ADDING NEW CONTENT]
  ☆312Updated 2 years ago
• BBuf / how-to-optim-algorithm-in-cuda
  how to optimize some algorithm in cuda.
  ☆2,421Updated this week
• BBuf / tvm_mlir_learn
  compiler learning resources collect.
  ☆2,491Updated 5 months ago
• Tongkaio / CUDA_Kernel_Samples
  CUDA 算子手撕与面试指南
  ☆541Updated 7 months ago