Alternatives and similar repositories for OneNeuralNetwork

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

• gfvvz / triton-learning-materials
  Triton Compiler related materials.
  ☆35Updated 10 months ago
• InfiniTensor / RefactorGraph
  分层解耦的深度学习推理引擎
  ☆76Updated 9 months ago
• MARD1NO / CUDA-PPT
  ☆112Updated 7 months ago
• GetUpEarlier / minit
  ☆27Updated last year
• njuhope / cuda_sgemm
  ☆116Updated last year
• TiledTensor / TiledCUDA
  We invite you to visit and follow our new repository at https://github.com/microsoft/TileFusion. TiledCUDA is a highly efficient kernel …
  ☆186Updated 9 months ago
• tongzhou80 / nanoPyC
  ☆70Updated 2 years ago
• LeiWang1999 / tvm_gpu_gemm
  play gemm with tvm
  ☆92Updated 2 years ago
• OpenPPL / CuAssembler
  An unofficial cuda assembler, for all generations of SASS, hopefully ：）
  ☆84Updated 2 years ago
• flagos-ai / flagtree
  FlagTree is a unified compiler for multiple AI chips, which is forked from triton-lang/triton.
  ☆131Updated last week
• ArthurinRUC / cutlass-notes
  From Minimal GEMM to Everything
  ☆79Updated last week
• billmuch / matmul_perf_test
  ☆15Updated 3 years ago
• XiaoSong9905 / dgemm-knl
  DGEMM on KNL, achieve 75% MKL
  ☆18Updated 3 years ago
• nicolaswilde / cuda-tensorcore-hgemm
  ☆156Updated 10 months ago
• galois-stack / galois
  a tensor computing compiler based tile programming for gpu, cpu or tpu
  ☆46Updated 2 months ago
• xlite-dev / HGEMM
  ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.
  ☆127Updated 6 months ago
• JackonYang / hands-on-tvm
  hands on model tuning with TVM and profile it on a Mac M1, x86 CPU, and GTX-1080 GPU.
  ☆50Updated 2 years ago
• StrongSpoon / tvm.schedule
  examples for tvm schedule API
  ☆101Updated 2 years ago
• QianyanTech / NBAssembler
  Assembler and Decompiler for NVIDIA (Maxwell Pascal Volta Turing Ampere) GPUs.
  ☆91Updated 2 years ago
• starmee / AI-Notes
  My learning notes about AI, including Machine Learning and Deep Learning.
  ☆18Updated 6 years ago
• Cambricon / mlu-ops
  Efficient operation implementation based on the Cambricon Machine Learning Unit (MLU) .
  ☆138Updated last week
• weishengying / cutlass_flash_atten_fp8
  使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention
  ☆78Updated last year
• AyakaGEMM / Hands-on-GEMM
  ☆143Updated last year
• CalvinXKY / BasicCUDA
  A tutorial for CUDA&PyTorch
  ☆165Updated 9 months ago
• DeepLink-org / DLOP-Bench
  A benchmark suited especially for deep learning operators
  ☆42Updated 2 years ago
• InfiniTensor / InfiniTensor
  ☆273Updated 3 weeks ago
• CalebDu / Awesome-Cute
  ☆110Updated 6 months ago
• Syencil / Programming_Massively_Parallel_Processors
  CUDA 6大并行计算模式 代码与笔记
  ☆61Updated 5 years ago
• BBuf / how-to-optimize-gemm
  ☆98Updated 4 years ago
• openmlsys / openmlsys-cuda
  Tutorials for writing high-performance GPU operators in AI frameworks.
  ☆134Updated 2 years ago