oneapi-src / oneDNN
oneAPI Deep Neural Network Library (oneDNN)
☆3,635Updated this week
Related projects ⓘ
Alternatives and complementary repositories for oneDNN
- Low-precision matrix multiplication☆1,780Updated 9 months ago
- Optimized primitives for collective multi-GPU communication☆3,253Updated 2 months ago
- Compiler for Neural Network hardware accelerators☆3,236Updated 6 months ago
- Collective communications library with various primitives for multi-machine training.☆1,227Updated this week
- Acceleration package for neural networks on multi-core CPUs☆1,676Updated 5 months ago
- nGraph has moved to OpenVINO☆1,352Updated 4 years ago
- High-efficiency floating-point neural network inference operators for mobile, server, and Web☆1,885Updated this week
- Open deep learning compiler stack for cpu, gpu and specialized accelerators☆11,798Updated this week
- FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/☆1,210Updated this week
- ☆1,655Updated 6 years ago
- A domain specific language to express machine learning workloads.☆1,761Updated last year
- OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.☆6,401Updated this week
- "Multi-Level Intermediate Representation" Compiler Infrastructure☆1,737Updated 3 years ago
- Quantized Neural Network PACKage - mobile-optimized implementation of quantized neural network operators☆1,528Updated 5 years ago
- [ARCHIVED] Cooperative primitives for CUDA C++. See https://github.com/NVIDIA/cccl☆1,684Updated last year
- Compute Library for Deep Neural Networks (clDNN)☆574Updated last year
- CUDA Templates for Linear Algebra Subroutines☆5,679Updated this week
- The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologi…☆2,861Updated this week
- A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep lear…☆5,158Updated this week
- A performant and modular runtime for TensorFlow☆756Updated last month
- Reference implementations of MLPerf™ training benchmarks☆1,617Updated last month
- A high performance and generic framework for distributed DNN training☆3,630Updated last year
- A retargetable MLIR-based machine learning compiler and runtime toolkit.☆2,846Updated this week
- Benchmarking Deep Learning operations on different hardware☆1,074Updated 3 years ago
- A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.☆962Updated 2 months ago
- Enabling PyTorch on XLA Devices (e.g. Google TPU)☆2,489Updated this week
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.☆14,265Updated 2 months ago
- a language for fast, portable data-parallel computation☆5,906Updated this week
- Reference implementations of MLPerf™ inference benchmarks☆1,238Updated this week
- A machine learning compiler for GPUs, CPUs, and ML accelerators☆2,710Updated this week