Improve performance of image preprocessing stepĬonvert TensorFlow Lite models to OpenVINO IRġ20-tensorflow-object-detection-to-openvinoĬonvert TensorFlow Object Detection models to OpenVINO IRġ22-quantizing-model-with-accuracy-control Introduction to model serving with OpenVINO™ Model Server (OVMS) Improve performance of sparse Transformer models Use Asynchronous Execution to Improve Data Pipelining Use Neural Network Compression Framework (NNCF) to quantize PyTorch model in post-training mode (without model fine-tuning) Migrate YOLOv5 POT API based quantization pipeline on Neural Network Compression Framework (NNCF)ġ12-pytorch-post-training-quantization-nncf Quantize a kidney segmentation model and show live inference Quantize speech recognition models using NNCF PTQ API Optimize and quantize a pre-trained BERT model Notebookġ01-tensorflow-classification-to-openvinoĬonvert PaddlePaddle models to OpenVINO IRĭownload, convert and benchmark models from Open Model Zoo Tutorials that explain how to optimize and quantize models with OpenVINO tools. Visual-language assistant with LLaVA and OpenVINO™ Text-to-Speech generation using Bark and OpenVINO™ Text-to-video synthesis with ZeroScope and OpenVINO™Ĭreate LLM-powered Chatbot using OpenVINO™ Image Generation with Tiny-SD and OpenVINO™ Image generation with Stable Diffusion XL and OpenVINO™Ĭontrollable Music Generation with MusicGen and OpenVINO™ Instruction following using Databricks Dolly 2.0 and OpenVINO™ Text-to-Image Generation with DeepFloyd IF and OpenVINO™īinding multimodal data using ImageBind and OpenVINO™ Visual Question Answering and Image Captioning using BLIP and OpenVINO™īlog - Multimodality with OpenVINO - BLIP Perform Zero-shot Image Classification with CLIP and OpenVINOīlog - Generative AI and Explainable AI with OpenVINO Generate subtitles for video with OpenAI Whisper and OpenVINO Text-to-Image Generation and Infinite Zoom with Stable Diffusion v2 and OpenVINO™īlog - How to run Stable Diffusion on Intel GPUs with OpenVINO Prompt based object segmentation mask generation using Segment Anything and OpenVINO™īlog - SAM: Segment Anything Model - Versatile by itself and Faster by OpenVINOĪ Text-to-Image Generation with ControlNet Conditioning and OpenVINO™īlog - Control your Stable Diffusion Model with ControlNet and OpenVINO Notebookīlog - How to get YOLOv8 Over 1000 fps with Intel GPUs? The notebooks provide an introduction to OpenVINO basics and teach developers how to leverage our API for optimized deep learning inference.Ĭheck out the latest notebooks that show how to optimize and deploy popular models on Intel CPU and GPU. * Add binder button, change openvino versionĪ collection of ready-to-run Jupyter notebooks for learning and experimenting with the OpenVINO™ Toolkit. * Bump notebook number + apply review comments * Add Image Style transfer tutorial to README Add TensorFlow Hub tutorial ( #1341 ) * Add TensorFlow Hub tutorial
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