Alternatives and similar repositories for awesome-openvino

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

• openvinotoolkit / openvino.genai
  Run Generative AI models with simple C++/Python API and using OpenVINO Runtime
  ☆374Updated this week
• openvinotoolkit / openvino_tokenizers
  OpenVINO Tokenizers extension
  ☆43Updated this week
• openvinotoolkit / openvino_build_deploy
  Pre-built components and code samples to help you build and deploy production-grade AI applications with the OpenVINO™ Toolkit from Intel
  ☆188Updated this week
• uxlfoundation / awesome-oneapi
  An Awesome list of oneAPI projects
  ☆152Updated 3 months ago
• huggingface / optimum-intel
  🤗 Optimum Intel: Accelerate inference with Intel optimization tools
  ☆513Updated this week
• openvinotoolkit / openvino_contrib
  Repository for OpenVINO's extra modules
  ☆150Updated last week
• openvinotoolkit / openvino_tensorflow
  OpenVINO™ integration with TensorFlow
  ☆178Updated last year
• openvinotoolkit / openvino_testdrive
  With OpenVINO Test Drive, users can run large language models (LLMs) and models trained by Intel Geti on their devices, including AI PCs …
  ☆34Updated last month
• intel / ai-containers
  This repository contains Dockerfiles, scripts, yaml files, Helm charts, etc. used to scale out AI containers with versions of TensorFlow …
  ☆54Updated this week
• onnx / turnkeyml
  No-code CLI designed for accelerating ONNX workflows
  ☆216Updated 5 months ago
• open-edge-platform / edge-developer-kit-reference-scripts
  Developer kits reference setup scripts for various kinds of Intel platforms and GPUs
  ☆38Updated this week
• intel / xpumanager
  ☆140Updated last month
• intel / intel-ai-assistant-builder
  Intel® AI Assistant Builder
  ☆128Updated this week
• intel / intel-extension-for-tensorflow
  Intel® Extension for TensorFlow*
  ☆348Updated last month
• intel / ai-reference-models
  Intel® AI Reference Models: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors and Inte…
  ☆720Updated 2 weeks ago
• intel / ai
  Explore our open source AI portfolio! Develop, train, and deploy your AI solutions with performance- and productivity-optimized tools fro…
  ☆57Updated 8 months ago
• intel / intel-npu-acceleration-library
  Intel® NPU Acceleration Library
  ☆697Updated 7 months ago
• openvinotoolkit / docker_ci
  The framework to generate a Dockerfile, build, test, and deploy a docker image with OpenVINO™ toolkit.
  ☆67Updated 2 weeks ago
• NVIDIA / RTX-AI-Toolkit
  The NVIDIA RTX™ AI Toolkit is a suite of tools and SDKs for Windows developers to customize, optimize, and deploy AI models across RTX PC…
  ☆179Updated this week
• openvinotoolkit / npu_compiler
  OpenVINO Intel NPU Compiler
  ☆73Updated last week
• oneapi-src / SYCLomatic
  ☆273Updated last week
• openvinotoolkit / model_server
  A scalable inference server for models optimized with OpenVINO™
  ☆797Updated this week
• amd / ryzen-ai-documentation
  Onboarding documentation source for the AMD Ryzen™ AI Software Platform. The AMD Ryzen™ AI Software Platform enables developers to take…
  ☆87Updated last week
• uxlfoundation / oneAPI-spec
  oneAPI Specification source files
  ☆208Updated 3 weeks ago
• opea-project / GenAIComps
  GenAI components at micro-service level; GenAI service composer to create mega-service
  ☆185Updated last week
• open-edge-platform / geti-sdk
  Software Development Kit (SDK) for the Geti™ platform for Computer Vision AI model training.
  ☆122Updated last week
• hailo-ai / tappas
  High-performance, optimized pre-trained template AI application pipelines for systems using Hailo devices
  ☆167Updated 2 months ago
• huggingface / optimum-amd
  AMD related optimizations for transformer models
  ☆96Updated last month
• intel / neural-speed
  An innovative library for efficient LLM inference via low-bit quantization
  ☆350Updated last year
• mlcommons / mlperf_client
  MLPerf Client is a benchmark for Windows, Linux and macOS, focusing on client form factors in ML inference scenarios.
  ☆59Updated last week