intel / intel-extension-for-pytorchLinks
A Python package for extending the official PyTorch that can easily obtain performance on Intel platform
☆2,002Updated this week
Alternatives and similar repositories for intel-extension-for-pytorch
Users that are interested in intel-extension-for-pytorch are comparing it to the libraries listed below
Sorting:
- SOTA low-bit LLM quantization (INT8/FP8/MXFP8/INT4/MXFP4/NVFP4) & sparsity; leading model compression techniques on PyTorch, TensorFlow, …☆2,570Updated this week
- 🤗 Optimum Intel: Accelerate inference with Intel optimization tools☆528Updated this week
- Intel® NPU Acceleration Library☆701Updated 8 months ago
- Intel® Extension for TensorFlow*☆350Updated 2 months ago
- Olive: Simplify ML Model Finetuning, Conversion, Quantization, and Optimization for CPUs, GPUs and NPUs.☆2,232Updated this week
- ⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Pl…☆2,173Updated last year
- Intel® AI Reference Models: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors and Inte…☆724Updated this week
- Run Generative AI models with simple C++/Python API and using OpenVINO Runtime☆414Updated this week
- Neural Network Compression Framework for enhanced OpenVINO™ inference☆1,115Updated last week
- Reference implementations of MLPerf® inference benchmarks☆1,513Updated this week
- TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.☆1,003Updated this week
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on H…☆3,092Updated this week
- cudnn_frontend provides a c++ wrapper for the cudnn backend API and samples on how to use it☆673Updated last month
- A unified library of SOTA model optimization techniques like quantization, pruning, distillation, speculative decoding, etc. It compresse…☆1,848Updated this week
- PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT☆2,920Updated last week
- ⚠️DirectML is in maintenance mode ⚠️ DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning. Direct…☆2,544Updated last week
- ONNX Optimizer☆790Updated this week
- The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.☆1,723Updated this week
- A scalable inference server for models optimized with OpenVINO™☆816Updated this week
- PyTorch native quantization and sparsity for training and inference☆2,631Updated this week
- A Python-level JIT compiler designed to make unmodified PyTorch programs faster.☆1,071Updated last year
- Examples for using ONNX Runtime for model training.☆358Updated last year
- ONNX Script enables developers to naturally author ONNX functions and models using a subset of Python.☆418Updated last week
- The HIP Environment and ROCm Kit - A lightweight open source build system for HIP and ROCm☆724Updated this week
- Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure☆965Updated this week
- High-efficiency floating-point neural network inference operators for mobile, server, and Web☆2,223Updated this week
- 🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization…☆3,260Updated this week
- Generative AI extensions for onnxruntime☆930Updated last week
- Benchmark Suite for Deep Learning☆280Updated last month
- DLPrimitives/OpenCL out of tree backend for pytorch☆384Updated last month