openvinotoolkit / openvino_notebooks
📚 Jupyter notebook tutorials for OpenVINO™
☆2,573Updated this week
Alternatives and similar repositories for openvino_notebooks:
Users that are interested in openvino_notebooks are comparing it to the libraries listed below
- OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference☆7,665Updated this week
- Run Generative AI models with simple C++/Python API and using OpenVINO Runtime☆200Updated this week
- 🤗 Optimum Intel: Accelerate inference with Intel optimization tools☆436Updated this week
- A curated list of OpenVINO based AI projects☆117Updated last month
- Repository for OpenVINO's extra modules☆112Updated last week
- Neural Network Compression Framework for enhanced OpenVINO™ inference☆968Updated this week
- SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX R…☆2,307Updated this week
- Images to inference with no labeling (use foundation models to train supervised models).☆2,081Updated 2 months ago
- Pre-trained Deep Learning models and demos (high quality and extremely fast)☆4,140Updated last week
- A scalable inference server for models optimized with OpenVINO™☆701Updated this week
- Software Development Kit (SDK) for the Intel® Geti™ platform for Computer Vision AI model training.☆74Updated this week
- Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.☆563Updated this week
- The Qualcomm® AI Hub Models are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.)…☆581Updated this week
- 🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥☆3,127Updated last year
- A Python package for extending the official PyTorch that can easily obtain performance on Intel platform☆1,716Updated this week
- Conversion of PyTorch Models into TFLite☆365Updated last year
- A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, …☆3,680Updated 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 …☆16Updated this week
- Intel® AI Reference Models: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors and Inte…☆692Updated this week
- Sparsity-aware deep learning inference runtime for CPUs☆3,088Updated 6 months ago
- Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massiv…☆742Updated last week
- PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT☆2,658Updated this week
- ⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Pl…☆2,155Updated 3 months ago
- Easy & Modular Computer Vision Detectors, Trackers & SAM - Run YOLOv9,v8,v7,v6,v5,R,X in under 10 lines of code.☆610Updated 8 months ago
- Supporting PyTorch models with the Google AI Edge TFLite runtime.☆428Updated this week
- OpenVINO™ Explainable AI (XAI) Toolkit: Visual Explanation for OpenVINO Models☆29Updated 3 months ago
- Intel® NPU Acceleration Library☆593Updated 2 weeks ago
- ☆28Updated last year
- Pre-built components and code samples to help you build and deploy production-grade AI applications with the OpenVINO™ Toolkit from Intel☆124Updated this week
- CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.☆2,426Updated last month