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
  ☆479Updated last year
• Jack47 / hack-SysML
  The road to hack SysML and become an system expert
  ☆510Updated last year
• 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
  ☆489Updated last year
• bytedance / ByteTransformer
  optimized BERT transformer inference on NVIDIA GPU. https://arxiv.org/abs/2210.03052
  ☆476Updated last year
• mlc-ai / notebooks
  ☆219Updated last year
• alibaba / BladeDISC
  BladeDISC is an end-to-end DynamIc Shape Compiler project for machine learning workloads.
  ☆915Updated last year
• ifromeast / cuda_learning
  learning how CUDA works
  ☆369Updated 10 months ago
• tpoisonooo / how-to-optimize-gemm
  row-major matmul optimization
  ☆699Updated 5 months ago
• flagos-ai / FlagGems
  FlagGems is an operator library for large language models implemented in the Triton Language.
  ☆887Updated this week
• bytedance / byteir
  A model compilation solution for various hardware
  ☆462Updated 5 months ago
• Cjkkkk / CUDA_gemm
  A simple high performance CUDA GEMM implementation.
  ☆426Updated 2 years ago
• Yinghan-Li / YHs_Sample
  Yinghan's Code Sample
  ☆364Updated 3 years ago
• 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…
  ☆1,228Updated 2 years ago
• Oneflow-Inc / DLPerf
  DeepLearning Framework Performance Profiling Toolkit
  ☆294Updated 3 years ago
• godweiyang / NN-CUDA-Example
  Several simple examples for popular neural network toolkits calling custom CUDA operators.
  ☆1,526Updated 4 years ago
• RussWong / CUDATutorial
  A CUDA tutorial to make people learn CUDA program from 0
  ☆266Updated last year
• OpenPPL / ppl.nn
  A primitive library for neural network
  ☆1,369Updated last year
• PaddleJitLab / CUDATutorial
  A self-learning tutorail for CUDA High Performance Programing.
  ☆854Updated 2 weeks ago
• openmlsys / openmlsys-cuda
  Tutorials for writing high-performance GPU operators in AI frameworks.
  ☆135Updated 2 years ago
• zc911 / MatrixSlow
  A simple deep learning framework in pure python for purpose of learning in DL
  ☆450Updated 11 months ago
• Oneflow-Inc / libai
  LiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training
  ☆405Updated 5 months ago
• eedalong / ECE408
  Code base and slides for ECE408：Applied Parallel Programming On GPU.
  ☆143Updated 4 years ago
• AyakaGEMM / Hands-on-GEMM
  ☆144Updated last year
• LiebingYu / tinyflow
  A simple deep learning framework that supports automatic differentiation and GPU acceleration.
  ☆59Updated 2 years ago
• XiaoSong9905 / CUDA-Optimization-Guide
  Xiao's CUDA Optimization Guide [NO LONGER ADDING NEW CONTENT]
  ☆322Updated 3 years ago
• BBuf / tvm_mlir_learn
  compiler learning resources collect.
  ☆2,668Updated 10 months ago
• CalvinXKY / BasicCUDA
  A tutorial for CUDA&PyTorch
  ☆208Updated last week
• PaddlePaddle / CINN
  Compiler Infrastructure for Neural Networks
  ☆147Updated 2 years 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
  ☆273Updated 3 years ago
• OpenPPL / ppl.nn.llm
  ☆141Updated last year