intel / intel-extension-for-pytorch
A Python package for extending the official PyTorch that can easily obtain performance on Intel platform
☆1,737Updated 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
- SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX R…☆2,325Updated this week
- Intel® Extension for TensorFlow*☆329Updated last month
- 🤗 Optimum Intel: Accelerate inference with Intel optimization tools☆443Updated this week
- ⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Pl…☆2,160Updated 4 months ago
- cudnn_frontend provides a c++ wrapper for the cudnn backend API and samples on how to use it☆499Updated 2 weeks ago
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs…☆2,182Updated this week
- Olive: Simplify ML Model Finetuning, Conversion, Quantization, and Optimization for CPUs, GPUs and NPUs.☆1,758Updated this week
- Transformer related optimization, including BERT, GPT☆6,025Updated 10 months ago
- A machine learning compiler for GPUs, CPUs, and ML accelerators☆2,963Updated this week
- FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/☆1,260Updated this week
- PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT☆2,677Updated this week
- Actively maintained ONNX Optimizer☆672Updated 3 weeks ago
- A Python-level JIT compiler designed to make unmodified PyTorch programs faster.☆1,029Updated 10 months ago
- ONNX Script enables developers to naturally author ONNX functions and models using a subset of Python.☆317Updated this week
- PyTorch extensions for high performance and large scale training.☆3,260Updated last month
- TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.☆904Updated this week
- Neural Network Compression Framework for enhanced OpenVINO™ inference☆974Updated this week
- Run Generative AI models with simple C++/Python API and using OpenVINO Runtime☆220Updated this week
- The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.☆1,424Updated this week
- A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.☆974Updated 5 months ago
- DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning. DirectML provides GPU acceleration for comm…☆2,354Updated 2 months ago
- MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.☆1,965Updated last week
- An open-source efficient deep learning framework/compiler, written in python.☆681Updated last 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…☆1,556Updated last year
- ONNXMLTools enables conversion of models to ONNX☆1,050Updated last month
- 🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization…☆2,749Updated this week
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,027Updated 10 months ago
- Reference implementations of MLPerf™ inference benchmarks☆1,315Updated this week
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,339Updated 7 months ago
- Intel® AI Reference Models: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors and Inte…☆695Updated this week