Alternatives and similar repositories for hidet

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

• pytorch / torchdynamo
  A Python-level JIT compiler designed to make unmodified PyTorch programs faster.
  ☆1,051Updated last year
• facebookresearch / HolisticTraceAnalysis
  A library to analyze PyTorch traces.
  ☆387Updated last week
• pytorch / PiPPy
  Pipeline Parallelism for PyTorch
  ☆768Updated 10 months ago
• BobMcDear / attorch
  A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
  ☆554Updated this week
• google / aqt
  ☆317Updated this week
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆322Updated this week
• openxla / stablehlo
  Backward compatible ML compute opset inspired by HLO/MHLO
  ☆490Updated this week
• albanD / subclass_zoo
  ☆168Updated last year
• lucidrains / triton-transformer
  Implementation of a Transformer, but completely in Triton
  ☆268Updated 3 years ago
• pytorch-labs / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆224Updated 10 months ago
• onnx / onnx-mlir
  Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure
  ☆873Updated last week
• jiazhihao / TASO
  The Tensor Algebra SuperOptimizer for Deep Learning
  ☆715Updated 2 years ago
• ELS-RD / kernl
  Kernl lets you run PyTorch transformer models several times faster on GPU with a single line of code, and is designed to be easily hackab…
  ☆1,571Updated last year
• microsoft / BitBLAS
  BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.
  ☆628Updated last month
• microsoft / triton-shared
  Shared Middle-Layer for Triton Compilation
  ☆255Updated this week
• Azure / MS-AMP
  Microsoft Automatic Mixed Precision Library
  ☆609Updated 8 months ago
• thuml / depyf
  depyf is a tool to help you understand and adapt to PyTorch compiler torch.compile.
  ☆689Updated 2 months ago
• mirage-project / mirage
  Mirage: Automatically Generating Fast GPU Kernels without Programming in Triton/CUDA
  ☆868Updated this week
• Deep-Learning-Profiling-Tools / triton-viz
  ☆219Updated this week
• NVIDIA / Fuser
  A Fusion Code Generator for NVIDIA GPUs (commonly known as "nvFuser")
  ☆337Updated this week
• mlc-ai / mlc-en
  ☆418Updated 8 months ago
• microsoft / nnfusion
  A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.
  ☆989Updated 9 months ago
• llvm / torch-mlir
  The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.
  ☆1,562Updated last week
• tspeterkim / flash-attention-minimal
  Flash Attention in ~100 lines of CUDA (forward pass only)
  ☆845Updated 5 months ago
• microsoft / onnxscript
  ONNX Script enables developers to naturally author ONNX functions and models using a subset of Python.
  ☆358Updated this week
• ColfaxResearch / cutlass-kernels
  ☆212Updated 11 months ago
• pranjalssh / fast.cu
  Fastest kernels written from scratch
  ☆281Updated 2 months ago
• IST-DASLab / marlin
  FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.
  ☆845Updated 9 months ago
• pytorch / kineto
  A CPU+GPU Profiling library that provides access to timeline traces and hardware performance counters.
  ☆821Updated this week
• KnowingNothing / MatmulTutorial
  A Easy-to-understand TensorOp Matmul Tutorial
  ☆363Updated 9 months ago