Alternatives and similar repositories for TinyTorch:

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

• parallel101 / simdtutor
  x86-64 SIMD矢量优化系列教程
  ☆119Updated 3 weeks ago
• hyperai / triton-cn
  Triton Documentation in Chinese Simplified / Triton 中文文档
  ☆66Updated last week
• array2d / deepx
  Large-scale Auto-Distributed Training/Inference Unified Framework | Memory-Compute-Control Decoupled Architecture | Multi-language SDK & …
  ☆41Updated this week
• MuGdxy / muda
  μ-Cuda, COVER THE LAST MILE OF CUDA. With features: intellisense-friendly, structured launch, automatic cuda graph generation and updatin…
  ☆173Updated 3 weeks ago
• openmlsys / openmlsys-cuda
  Tutorials for writing high-performance GPU operators in AI frameworks.
  ☆130Updated last year
• tongzhou80 / nanoPyC
  ☆70Updated 2 years ago
• interestingLSY / CUDA-From-Correctness-To-Performance-Code
  Codes & examples for "CUDA - From Correctness to Performance"
  ☆96Updated 6 months ago
• ailzhang / EfficientPyTorch
  Code release for book "Efficient Training in PyTorch"
  ☆60Updated 2 weeks ago
• ischintsan / cuda_by_example
  GPU高性能编程CUDA实战随书代码
  ☆36Updated 2 years ago
• luliyucoordinate / cute-flash-attention
  Implement Flash Attention using Cute.
  ☆76Updated 4 months ago
• keith2018 / TinyGPT
  Tiny C++11 GPT-2 inference implementation from scratch
  ☆58Updated 2 weeks ago
• caiwanxianhust / FasterLLaMA
  使用 CUDA C++ 实现的 llama 模型推理框架
  ☆50Updated 5 months ago
• InfiniTensor / RefactorGraph
  分层解耦的深度学习推理引擎
  ☆72Updated 2 months ago
• nvixnu / pmpp__programming_massively_parallel_processors
  Examples and exercises from the book Programming Massively Parallel Processors - A Hands-on Approach. David B. Kirk and Wen-mei W. Hwu (T…
  ☆67Updated 4 years ago
• DD-DuDa / Cute-Learning
  Examples of CUDA implementations by Cutlass CuTe
  ☆159Updated 2 months ago
• xlite-dev / ffpa-attn-mma
  📚FFPA(Split-D): Yet another Faster Flash Attention with O(1) GPU SRAM complexity large headdim, 1.8x~3x↑🎉 faster than SDPA EA.
  ☆169Updated 2 weeks ago
• JieRen98 / SGEMM-SASS-Annotation
  ☆20Updated 4 years ago
• mrzhuzhe / riven
  CPU Memory Compiler and Parallel programing
  ☆26Updated 5 months ago
• harleyszhang / lite_llama
  A light llama-like llm inference framework based on the triton kernel.
  ☆108Updated last week
• matrix97317 / OneNeuralNetwork
  This is a cross-chip platform collection of operators and a unified neural network library.
  ☆17Updated last year
• piDack / The-ans-for-Programming-Massively-Parallel-Processor
  大规模并行处理器编程实战 第二版答案
  ☆32Updated 2 years ago
• YuxueYang1204 / CudaDemo
  Implement custom operators in PyTorch with cuda/c++
  ☆58Updated 2 years ago
• Syencil / Programming_Massively_Parallel_Processors
  CUDA 6大并行计算模式 代码与笔记
  ☆60Updated 4 years ago
• xgqdut2016 / cuda_code
  easy cuda code
  ☆70Updated 4 months ago
• li199603 / parallel_prefix_sum
  Parallel Prefix Sum (Scan) with CUDA
  ☆19Updated 10 months ago
• archibate / sycltutor
  小彭老师推出 SyCL 2020 课程（施工中，日后会在直播中放出）
  ☆15Updated last year
• AyakaGEMM / Hands-on-GEMM
  ☆122Updated last year
• AdvancedCompiler / AdvancedCompiler
  先进编译实验室的个人主页
  ☆75Updated this week
• archibate / parallel-languages-benchmark
  鉴定网络热门并行编程框架 - 性能测评（附小彭老师锐评）已评测：Taichi、SyCL、C++、OpenMP、TBB、Mojo
  ☆36Updated last year
• RussWong / LLM-engineering
  ☆21Updated last month