intel / intel-extension-for-pytorchLinks
A Python package for extending the official PyTorch that can easily obtain performance on Intel platform
☆1,990Updated 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 TensorFlow, PyTorch, …☆2,525Updated this week
- 🤗 Optimum Intel: Accelerate inference with Intel optimization tools☆507Updated this week
- Intel® NPU Acceleration Library☆694Updated 6 months ago
- Run Generative AI models with simple C++/Python API and using OpenVINO Runtime☆371Updated this week
- Intel® Extension for TensorFlow*☆346Updated 2 weeks ago
- Olive: Simplify ML Model Finetuning, Conversion, Quantization, and Optimization for CPUs, GPUs and NPUs.☆2,186Updated 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…☆2,909Updated this week
- ⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Pl…☆2,164Updated last year
- cudnn_frontend provides a c++ wrapper for the cudnn backend API and samples on how to use it☆642Updated this week
- Reference implementations of MLPerf® inference benchmarks☆1,484Updated this week
- Intel® AI Reference Models: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors and Inte…☆718Updated this week
- TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.☆995Updated this week
- A unified library of state-of-the-art model optimization techniques like quantization, pruning, distillation, speculative decoding, etc. …☆1,529Updated this week
- ONNX Optimizer☆772Updated 2 weeks ago
- The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.☆1,678Updated this week
- FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/☆1,476Updated this week
- MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.☆2,074Updated 4 months ago
- FlashInfer: Kernel Library for LLM Serving☆4,062Updated this week
- Generative AI extensions for onnxruntime☆878Updated this week
- Neural Network Compression Framework for enhanced OpenVINO™ inference☆1,100Updated this week
- A scalable inference server for models optimized with OpenVINO™☆790Updated this week
- Kernl lets you run PyTorch transformer models several times faster on GPU with a single line of code, and is designed to be easily hackab…☆1,585Updated last year
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,340Updated 4 months ago
- PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT☆2,884Updated this week
- Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure☆933Updated this week
- DLPrimitives/OpenCL out of tree backend for pytorch☆377Updated last year
- 🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization…☆3,164Updated 2 weeks ago
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,550Updated last year
- oneAPI Deep Neural Network Library (oneDNN)☆3,919Updated this week
- ONNX Script enables developers to naturally author ONNX functions and models using a subset of Python.☆408Updated this week