Alternatives and similar repositories for XNNPACK:

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

• iree-org / iree
  A retargetable MLIR-based machine learning compiler and runtime toolkit.
  ☆3,092Updated this week
• google / gemmlowp
  Low-precision matrix multiplication
  ☆1,799Updated last year
• pytorch / QNNPACK
  Quantized Neural Network PACKage - mobile-optimized implementation of quantized neural network operators
  ☆1,538Updated 5 years ago
• ARM-software / armnn
  Arm NN ML Software. The code here is a read-only mirror of https://review.mlplatform.org/admin/repos/ml/armnn
  ☆1,249Updated last week
• uxlfoundation / oneDNN
  oneAPI Deep Neural Network Library (oneDNN)
  ☆3,772Updated this week
• tensorflow / runtime
  A performant and modular runtime for TensorFlow
  ☆759Updated this week
• onnx / optimizer
  ONNX Optimizer
  ☆690Updated 2 weeks ago
• pytorch / FBGEMM
  FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/
  ☆1,299Updated this week
• onnx / onnx-tensorflow
  Tensorflow Backend for ONNX
  ☆1,302Updated last year
• onnx / onnx-mlir
  Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure
  ☆840Updated this week
• mlcommons / inference
  Reference implementations of MLPerf™ inference benchmarks
  ☆1,351Updated last week
• onnx / tensorflow-onnx
  Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
  ☆2,402Updated 2 months ago
• llvm / torch-mlir
  The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.
  ☆1,491Updated this week
• tensorflow / mlir
  "Multi-Level Intermediate Representation" Compiler Infrastructure
  ☆1,744Updated 3 years ago
• google / ruy
  ☆310Updated 3 months ago
• Maratyszcza / NNPACK
  Acceleration package for neural networks on multi-core CPUs
  ☆1,686Updated 10 months ago
• intel / neural-compressor
  SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX R…
  ☆2,369Updated this week
• 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…
  ☆2,943Updated last week
• microsoft / nnfusion
  A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.
  ☆981Updated 6 months ago
• openxla / xla
  A machine learning compiler for GPUs, CPUs, and ML accelerators
  ☆3,087Updated this week
• onnx / onnxmltools
  ONNXMLTools enables conversion of models to ONNX
  ☆1,069Updated 3 months ago
• jiazhihao / TASO
  The Tensor Algebra SuperOptimizer for Deep Learning
  ☆706Updated 2 years ago
• dmlc / dlpack
  common in-memory tensor structure
  ☆978Updated last week
• huawei-noah / bolt
  Bolt is a deep learning library with high performance and heterogeneous flexibility.
  ☆940Updated last week
• NervanaSystems / ngraph
  nGraph has moved to OpenVINO
  ☆1,349Updated 4 years ago
• apache / tvm
  Open deep learning compiler stack for cpu, gpu and specialized accelerators
  ☆12,212Updated this week
• daquexian / onnx-simplifier
  Simplify your onnx model
  ☆4,050Updated 7 months ago
• mit-han-lab / tinyengine
  [NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep L…
  ☆853Updated 4 months ago
• quic / aimet
  AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
  ☆2,273Updated this week
• pytorch / glow
  Compiler for Neural Network hardware accelerators
  ☆3,279Updated 11 months ago