microsoft / DirectML
DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning. DirectML provides GPU acceleration for common machine learning tasks across a broad range of supported hardware and drivers, including all DirectX 12-capable GPUs from vendors such as AMD, Intel, NVIDIA, and Qualcomm.
☆2,444Updated 3 weeks ago
Alternatives and similar repositories for DirectML:
Users that are interested in DirectML are comparing it to the libraries listed below
- Fork of TensorFlow accelerated by DirectML☆467Updated 7 months ago
- A Python package for extending the official PyTorch that can easily obtain performance on Intel platform☆1,846Updated this week
- Olive: Simplify ML Model Finetuning, Conversion, Quantization, and Optimization for CPUs, GPUs and NPUs.☆1,893Updated this week
- DirectML PluggableDevice plugin for TensorFlow 2☆193Updated 2 months ago
- Intel® NPU Acceleration Library☆669Updated 2 weeks ago
- oneAPI Deep Neural Network Library (oneDNN)☆3,788Updated this week
- Intel® Extension for TensorFlow*☆337Updated last month
- Generative AI extensions for onnxruntime☆703Updated this week
- AMD ROCm™ Software - GitHub Home☆5,249Updated this week
- SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX R…☆2,398Updated this week
- Run Generative AI models with simple C++/Python API and using OpenVINO Runtime☆269Updated this week
- AMD's Machine Intelligence Library☆1,145Updated this week
- A retargetable MLIR-based machine learning compiler and runtime toolkit.☆3,119Updated this week
- A machine learning compiler for GPUs, CPUs, and ML accelerators☆3,135Updated this week
- Examples for using ONNX Runtime for model training.☆333Updated 6 months ago
- DLPrimitives/OpenCL out of tree backend for pytorch☆346Updated 8 months ago
- Tensors and Dynamic neural networks in Python with strong GPU acceleration☆226Updated this week
- 🤗 Optimum Intel: Accelerate inference with Intel optimization tools☆462Updated this week
- Dockerfiles for the various software layers defined in the ROCm software platform☆465Updated 2 weeks ago
- ☆510Updated last week
- Samples and Tools for Windows ML.☆1,067Updated 11 months ago
- FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/☆1,315Updated this week
- Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX☆2,414Updated 3 months ago
- onnxruntime-extensions: A specialized pre- and post- processing library for ONNX Runtime☆380Updated this week
- cudnn_frontend provides a c++ wrapper for the cudnn backend API and samples on how to use it☆554Updated last month
- Simplify your onnx model☆4,070Updated 8 months ago
- ⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Pl…☆2,172Updated 7 months ago
- An Open Source Machine Learning Framework for Everyone☆1,138Updated 7 months ago
- ONNX Script enables developers to naturally author ONNX functions and models using a subset of Python.☆348Updated this week
- PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT☆2,742Updated this week