open-edge-platform / geti-sdkLinks
Software Development Kit (SDK) for the Intel® Geti™ platform for Computer Vision AI model training.
☆121Updated this week
Alternatives and similar repositories for geti-sdk
Users that are interested in geti-sdk are comparing it to the libraries listed below
Sorting:
- Run Computer Vision AI models with simple Python API and using OpenVINO Runtime☆56Updated last week
- Build computer vision models in a fraction of the time and with less data.☆368Updated this week
- OpenVINO™ Explainable AI (XAI) Toolkit: Visual Explanation for OpenVINO Models☆34Updated 6 months ago
- Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.☆646Updated this week
- Run Generative AI models with simple C++/Python API and using OpenVINO Runtime☆334Updated last week
- Repository for OpenVINO's extra modules☆139Updated this week
- With OpenVINO Test Drive, users can run large language models (LLMs) and models trained by Intel Geti on their devices, including AI PCs …☆32Updated last week
- Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™☆1,203Updated this week
- A scalable inference server for models optimized with OpenVINO™☆759Updated last week
- OpenVINO Tokenizers extension☆40Updated last week
- DL Streamer is now part of Open Edge Platform, for latest updates and releases please visit new repo: https://github.com/open-edge-platfo…☆564Updated 2 months ago
- OpenVINO™ integration with TensorFlow☆179Updated last year
- 📚 Jupyter notebook tutorials for OpenVINO™☆2,897Updated last week
- A curated list of OpenVINO based AI projects☆154Updated 2 months ago
- ☆28Updated 2 years ago
- The framework to generate a Dockerfile, build, test, and deploy a docker image with OpenVINO™ toolkit.☆67Updated 2 months ago
- 🤗 Optimum Intel: Accelerate inference with Intel optimization tools☆489Updated last week
- Explainable AI Tooling (XAI). XAI is used to discover and explain a model's prediction in a way that is interpretable to the user. Releva…☆39Updated 4 months ago
- A project demonstrating how to make DeepStream docker images.☆82Updated 9 months ago
- Intel® AI Reference Models: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors and Inte…☆719Updated last month
- Sample apps to demonstrate how to deploy models trained with TAO on DeepStream☆428Updated last week
- Pre-built components and code samples to help you build and deploy production-grade AI applications with the OpenVINO™ Toolkit from Intel☆171Updated last week
- ☆20Updated last year
- A shared library of on-demand DeepStream Pipeline Services for Python and C/C++☆328Updated 6 months ago
- ONNX Runtime: cross-platform, high performance scoring engine for ML models☆71Updated this week
- A DeepStream sample application demonstrating end-to-end retail video analytics for brick-and-mortar retail.☆49Updated 2 years ago
- Sample videos for running inference☆304Updated last year
- Ultralytics GitHub Actions☆43Updated 2 weeks ago
- autoAnnoter its a tool to auto annotate data using a exisiting models☆45Updated last year
- Model Preparation Algorithm: a Transfer Learning Framework☆21Updated 2 years ago