Alternatives and similar repositories for XNNPACK

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

• pytorch / FBGEMM
  FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/
  ☆1,519Updated this week
• tensorflow / runtime
  A performant and modular runtime for TensorFlow
  ☆755Updated 4 months ago
• iree-org / iree
  A retargetable MLIR-based machine learning compiler and runtime toolkit.
  ☆3,569Updated this week
• llvm / torch-mlir
  The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.
  ☆1,735Updated this week
• google / gemmlowp
  Low-precision matrix multiplication
  ☆1,827Updated last year
• onnx / onnx-mlir
  Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure
  ☆965Updated last week
• pytorch / QNNPACK
  Quantized Neural Network PACKage - mobile-optimized implementation of quantized neural network operators
  ☆1,551Updated 6 years ago
• ARM-software / armnn
  Arm NN ML Software.
  ☆1,299Updated this week
• mlcommons / inference
  Reference implementations of MLPerf® inference benchmarks
  ☆1,518Updated this week
• pytorch / glow
  Compiler for Neural Network hardware accelerators
  ☆3,328Updated last year
• uxlfoundation / oneDNN
  oneAPI Deep Neural Network Library (oneDNN)
  ☆3,957Updated this week
• onnx / optimizer
  ONNX Optimizer
  ☆793Updated last week
• onnx / onnx-tensorflow
  Tensorflow Backend for ONNX
  ☆1,325Updated last year
• google / ruy
  ☆321Updated last month
• onnx / onnxmltools
  ONNXMLTools enables conversion of models to ONNX
  ☆1,137Updated last week
• intel / neural-compressor
  SOTA low-bit LLM quantization (INT8/FP8/MXFP8/INT4/MXFP4/NVFP4) & sparsity; leading model compression techniques on PyTorch, TensorFlow, …
  ☆2,574Updated this week
• tensorflow / mlir
  "Multi-Level Intermediate Representation" Compiler Infrastructure
  ☆1,763Updated 4 years ago
• openxla / xla
  A machine learning compiler for GPUs, CPUs, and ML accelerators
  ☆3,923Updated this week
• tensorflow / tflite-support
  TFLite Support is a toolkit that helps users to develop ML and deploy TFLite models onto mobile / ioT devices.
  ☆432Updated last week
• quic / aimet
  AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
  ☆2,544Updated this week
• microsoft / nnfusion
  A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.
  ☆1,006Updated last year
• onnx / tensorflow-onnx
  Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
  ☆2,510Updated 4 months ago
• ARM-software / ComputeLibrary
  The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologi…
  ☆3,109Updated this week
• dmlc / dlpack
  common in-memory tensor structure
  ☆1,144Updated last month
• NervanaSystems / ngraph
  nGraph has moved to OpenVINO
  ☆1,346Updated 5 years ago
• openxla / stablehlo
  Backward compatible ML compute opset inspired by HLO/MHLO
  ☆598Updated 2 weeks ago
• microsoft / onnxruntime-extensions
  onnxruntime-extensions: A specialized pre- and post- processing library for ONNX Runtime
  ☆435Updated last month
• google-ai-edge / LiteRT
  LiteRT, successor to TensorFlow Lite. is Google's On-device framework for high-performance ML & GenAI deployment on edge platforms, via e…
  ☆1,319Updated this week
• pytorch / TensorRT
  PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT
  ☆2,928Updated this week
• tensorflow / mlir-hlo
  ☆423Updated 3 weeks ago