uxlfoundation / oneDNN
oneAPI Deep Neural Network Library (oneDNN)
☆3,790Updated this week
Alternatives and similar repositories for oneDNN
Users that are interested in oneDNN are comparing it to the libraries listed below
Sorting:
- Low-precision matrix multiplication☆1,803Updated last year
- nGraph has moved to OpenVINO☆1,348Updated 4 years ago
- Compiler for Neural Network hardware accelerators☆3,291Updated last year
- A domain specific language to express machine learning workloads.☆1,759Updated 2 years ago
- FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/☆1,319Updated this week
- ☆1,657Updated 6 years ago
- Acceleration package for neural networks on multi-core CPUs☆1,687Updated 11 months ago
- OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.☆6,764Updated this week
- High-efficiency floating-point neural network inference operators for mobile, server, and Web☆2,016Updated this week
- A retargetable MLIR-based machine learning compiler and runtime toolkit.☆3,132Updated this week
- common in-memory tensor structure☆985Updated this week
- Open deep learning compiler stack for cpu, gpu and specialized accelerators☆12,275Updated this week
- Collective communications library with various primitives for multi-machine training.☆1,302Updated this week
- "Multi-Level Intermediate Representation" Compiler Infrastructure☆1,744Updated 4 years ago
- ArrayFire: a general purpose GPU library.☆4,700Updated this week
- Open standard for machine learning interoperability☆18,949Updated this week
- Quantized Neural Network PACKage - mobile-optimized implementation of quantized neural network operators☆1,541Updated 5 years ago
- The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs☆1,295Updated last month
- Library for specialized dense and sparse matrix operations, and deep learning primitives.☆871Updated this week
- Reference implementations of MLPerf™ training benchmarks☆1,667Updated last month
- Optimized primitives for collective multi-GPU communication☆3,710Updated 2 weeks ago
- [ARCHIVED] Cooperative primitives for CUDA C++. See https://github.com/NVIDIA/cccl☆1,746Updated last year
- Benchmarking Deep Learning operations on different hardware☆1,086Updated 4 years ago
- The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologi…☆2,970Updated this week
- This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® X…☆847Updated 2 years ago
- A machine learning compiler for GPUs, CPUs, and ML accelerators☆3,169Updated this week
- A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.☆984Updated 7 months ago
- Tensorflow Backend for ONNX☆1,301Updated last year
- Tuned OpenCL BLAS☆1,103Updated 3 weeks ago
- A performant and modular runtime for TensorFlow☆761Updated 3 weeks ago