Alternatives and similar repositories for openvino

Users that are interested in openvino are comparing it to the libraries listed below

• openvinotoolkit / open_model_zoo
  Pre-trained Deep Learning models and demos (high quality and extremely fast)
  ☆4,295Updated last week
• openvinotoolkit / openvino_notebooks
  📚 Jupyter notebook tutorials for OpenVINO™
  ☆2,910Updated last week
• microsoft / onnxruntime
  ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
  ☆17,966Updated this week
• NVIDIA / TensorRT
  NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source compone…
  ☆12,196Updated this week
• onnx / models
  A collection of pre-trained, state-of-the-art models in the ONNX format
  ☆9,044Updated 2 weeks ago
• apache / tvm
  Open deep learning compiler stack for cpu, gpu and specialized accelerators
  ☆12,660Updated this week
• uxlfoundation / oneDNN
  oneAPI Deep Neural Network Library (oneDNN)
  ☆3,889Updated this week
• onnx / onnx
  Open standard for machine learning interoperability
  ☆19,639Updated last week
• triton-lang / triton
  Development repository for the Triton language and compiler
  ☆17,069Updated this week
• pytorch / TensorRT
  PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT
  ☆2,865Updated this week
• onnx / tutorials
  Tutorials for creating and using ONNX models
  ☆3,603Updated last year
• openxla / xla
  A machine learning compiler for GPUs, CPUs, and ML accelerators
  ☆3,541Updated last week
• daquexian / onnx-simplifier
  Simplify your onnx model
  ☆4,186Updated last month
• triton-inference-server / server
  The Triton Inference Server provides an optimized cloud and edge inferencing solution.
  ☆9,829Updated this week
• openvinotoolkit / model_server
  A scalable inference server for models optimized with OpenVINO™
  ☆768Updated this week
• intel / intel-extension-for-pytorch
  A Python package for extending the official PyTorch that can easily obtain performance on Intel platform
  ☆1,969Updated this week
• Tencent / TNN
  TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is …
  ☆4,582Updated 4 months ago
• intel / neural-compressor
  SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX R…
  ☆2,500Updated this week
• openvinotoolkit / openvino.genai
  Run Generative AI models with simple C++/Python API and using OpenVINO Runtime
  ☆342Updated this week
• NVIDIA / DALI
  A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep lear…
  ☆5,523Updated this week
• Tencent / ncnn
  ncnn is a high-performance neural network inference framework optimized for the mobile platform
  ☆22,104Updated last week
• PaddlePaddle / FastDeploy
  High-performance Inference and Deployment Toolkit for LLMs and VLMs based on PaddlePaddle
  ☆3,521Updated this week
• onnx / onnx-tensorrt
  ONNX-TensorRT: TensorRT backend for ONNX
  ☆3,154Updated 3 weeks ago
• NVIDIA-AI-IOT / torch2trt
  An easy to use PyTorch to TensorRT converter
  ☆4,817Updated last year
• onnx / tensorflow-onnx
  Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
  ☆2,480Updated 2 weeks ago
• xlite-dev / lite.ai.toolkit
  🛠A lite C++ AI toolkit: 100+ models with MNN, ORT and TRT, including Det, Seg, Stable-Diffusion, Face-Fusion, etc.🎉
  ☆4,249Updated last month
• CVCUDA / CV-CUDA
  CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.
  ☆2,583Updated 4 months ago
• google / XNNPACK
  High-efficiency floating-point neural network inference operators for mobile, server, and Web
  ☆2,121Updated this week
• WongKinYiu / yolov7
  Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
  ☆13,987Updated last year
• kornia / kornia
  🐍 Geometric Computer Vision Library for Spatial AI
  ☆10,774Updated this week