README.md

OpenVINO Notebooks

OpenVINO™ Notebooks at GitHub Pages

AI Trends

• Video generation with ZeroScope and OpenVINO
• Convert and Optimize YOLOv9 with OpenVINO™
• Convert and Optimize YOLOv8 real-time object detection with OpenVINO™
• YOLOv8 Oriented Bounding Boxes Object Detection with OpenVINO™
• Convert and Optimize YOLOv8 keypoint detection model with OpenVINO™
• Convert and Optimize YOLOv8 instance segmentation model with OpenVINO™
• Image generation with Würstchen and OpenVINO
• Post-Training Quantization of OpenAI Whisper model with NNCF
• Video Subtitle Generation using Whisper and OpenVINO™
• TripoSR feedforward 3D reconstruction from a single image and OpenVINO
• Image Generation with Tiny-SD and OpenVINO™
• Line-level text detection with Surya
• LLM-powered chatbot using Stable-Zephyr-3b and OpenVINO
• Image generation with Stable Diffusion XL and OpenVINO
• Image generation with Segmind Stable Diffusion 1B (SSD-1B) model and OpenVINO
• High-resolution image generation with Segmind-VegaRT and OpenVINO
• Text-to-Image Generation with Stable Diffusion v2 and OpenVINO™
• Stable Diffusion Text-to-Image Demo
• Stable Diffusion v2.1 using Optimum-Intel OpenVINO and multiple Intel Hardware
• Infinite Zoom Stable Diffusion v2 and OpenVINO™
• Stable Diffusion with KerasCV and OpenVINO
• Image Generation with Stable Diffusion and IP-Adapter
• Sound Generation with AudioLDM2 and OpenVINO™
• SoftVC VITS Singing Voice Conversion and OpenVINO™
• Object masks from prompts with SAM and OpenVINO
• Single step image generation using SDXL-turbo and OpenVINO
• Generate creative QR codes with ControlNet QR Code Monster and OpenVINO™
• Text-to-image generation using PhotoMaker and OpenVINO
• Voice tone cloning with OpenVoice and OpenVINO
• Controllable Music Generation with MusicGen and OpenVINO
• Mobile language assistant with MobileVLM and OpenVINO
• Visual Content Search using MobileCLIP and OpenVINO
• Magika: AI powered fast and efficient file type identification using OpenVINO
• Create a RAG system using OpenVINO and LangChain
• LLM Instruction-following pipeline with OpenVINO
• Create an LLM-powered Chatbot using OpenVINO
• Visual-language assistant with LLaVA Next and OpenVINO
• Visual-language assistant with Video-LLaVA and OpenVINO
• Visual-language assistant with LLaVA and OpenVINO
• Text-to-Image Generation with LCM LoRA and ControlNet Conditioning
• Latent Consistency Model using Optimum-Intel OpenVINO
• Image generation with Latent Consistency Model and OpenVINO
• Kosmos-2: Multimodal Large Language Model and OpenVINO
• Image Editing with InstructPix2Pix and OpenVINO
• InstantID: Zero-shot Identity-Preserving Generation using OpenVINO
• Binding multimodal data using ImageBind and OpenVINO
• Object detection and masking from prompts with GroundedSAM (GroundingDINO + SAM) and OpenVINO
• Frame interpolation using FILM and OpenVINO
• Object segmentations with FastSAM and OpenVINO
• Object segmentations with EfficientSAM and OpenVINO
• Instruction following using Databricks Dolly 2.0 and OpenVINO
• Automatic speech recognition using Distil-Whisper and OpenVINO
• Depth estimation with DepthAnything and OpenVINO
• Post-Training Quantization and Weights Compression of DeepFloyd IF model with NNCF
• Image generation with DeepFloyd IF and OpenVINO™
• Image generation with DeciDiffusion and OpenVINO
• Text-to-Image Generation with ControlNet Conditioning
• Zero-shot Image Classification with OpenAI CLIP and OpenVINO™
• Visual Question Answering and Image Captioning using BLIP and OpenVINO
• Subject-driven image generation and editing using BLIP Diffusion and OpenVINO
• Text-to-speech generation using Bark and OpenVINO
• Image-to-Video synthesis with AnimateAnyone and OpenVINO

API Overview

• Quantize Speech Recognition Models with accuracy control using NNCF PTQ API
• Post-Training Quantization of PyTorch models with NNCF
• Performance tricks in OpenVINO for throughput mode
• Performance tricks in OpenVINO for latency mode
• Optimize Preprocessing
• OpenVINO Tokenizers: Incorporate Text Processing Into OpenVINO Pipelines
• Working with Open Model Zoo Models
• Hello Model Server
• Quantize NLP models with Post-Training Quantization ​in NNCF
• Quantization of Image Classification Models
• 🤗 Hugging Face Model Hub with OpenVINO™
• Working with GPUs in OpenVINO™
• OpenVINO™ model conversion API
• OpenVINO™ Model conversion
• Big Transfer Image Classification Model Quantization pipeline with NNCF
• Automatic Device Selection with OpenVINO™
• Asynchronous Inference with OpenVINO™

Convert

• Semantic segmentation with LRASPP MobileNet v3 and OpenVINO
• Classification with ConvNeXt and OpenVINO
• Convert a Tensorflow Lite Model to OpenVINO™
• From Training to Deployment with TensorFlow and OpenVINO™
• Convert a TensorFlow Object Detection Model to OpenVINO™
• Convert a TensorFlow Instance Segmentation Model to OpenVINO™
• Convert of TensorFlow Hub models to OpenVINO Intermediate Representation (IR)
• Convert a TensorFlow Model to OpenVINO™
• Line-level text detection with Surya
• Convert and Optimize YOLOv8 with OpenVINO™
• Convert a PyTorch Model to OpenVINO™ IR
• Convert a PyTorch Model to ONNX and OpenVINO™ IR
• Convert a PaddlePaddle Model to OpenVINO™ IR
• Voice tone cloning with OpenVoice and OpenVINO
• OpenVINO Tokenizers: Incorporate Text Processing Into OpenVINO Pipelines
• Working with Open Model Zoo Models
• Object detection and masking from prompts with GroundedSAM (GroundingDINO + SAM) and OpenVINO
• Convert Detectron2 Models to OpenVINO™
• Quantize a Segmentation Model and Show Live Inference
• OpenVINO™ model conversion API
• OpenVINO™ Model conversion

Explainable AI

• Language-Visual Saliency with CLIP and OpenVINO™

First Steps

• OpenVINO™ Runtime API Tutorial
• Hello Image Classification
• Hello Image Segmentation
• Hello Object Detection

Live Demos

• Style Transfer with OpenVINO™
• Live Human Pose Estimation with OpenVINO™
• Person Tracking with OpenVINO™
• PaddleOCR with OpenVINO™
• Voice tone cloning with OpenVoice and OpenVINO
• Live Object Detection with OpenVINO™
• Object detection and masking from prompts with GroundedSAM (GroundingDINO + SAM) and OpenVINO
• Quantize a Segmentation Model and Show Live Inference
• Live Inference and Benchmark CT-scan Data with OpenVINO™
• Human Action Recognition with OpenVINO™
• Live 3D Human Pose Estimation with OpenVINO

Model Demos

• Video generation with ZeroScope and OpenVINO
• Convert and Optimize YOLOv9 with OpenVINO™
• Convert and Optimize YOLOv8 real-time object detection with OpenVINO™
• YOLOv8 Oriented Bounding Boxes Object Detection with OpenVINO™
• Convert and Optimize YOLOv8 keypoint detection model with OpenVINO™
• Convert and Optimize YOLOv8 instance segmentation model with OpenVINO™
• Convert and Optimize YOLOv7 with OpenVINO™
• Image generation with Würstchen and OpenVINO
• Post-Training Quantization of OpenAI Whisper model with NNCF
• Video Subtitle Generation using Whisper and OpenVINO™
• Video Super Resolution with OpenVINO™
• Single Image Super Resolution with OpenVINO™
• Super Resolution with PaddleGAN and OpenVINO™
• Photos to Anime with PaddleGAN and OpenVINO
• Monodepth Estimation with OpenVINO
• Image Colorization with OpenVINO
• Image Background Removal with U^2-Net and OpenVINO™
• Vehicle Detection And Recognition with OpenVINO™
• Typo Detector with OpenVINO™
• TripoSR feedforward 3D reconstruction from a single image and OpenVINO
• Image Generation with Tiny-SD and OpenVINO™
• Selfie Segmentation using TFLite and OpenVINO
• Text Prediction with OpenVINO™
• Table Question Answering using TAPAS and OpenVINO™
• Line-level text detection with Surya
• LLM-powered chatbot using Stable-Zephyr-3b and OpenVINO
• Image generation with Stable Diffusion XL and OpenVINO
• Image generation with Segmind Stable Diffusion 1B (SSD-1B) model and OpenVINO
• High-resolution image generation with Segmind-VegaRT and OpenVINO
• Text-to-Image Generation with Stable Diffusion v2 and OpenVINO™
• Stable Diffusion Text-to-Image Demo
• Stable Diffusion v2.1 using Optimum-Intel OpenVINO and multiple Intel Hardware
• Infinite Zoom Stable Diffusion v2 and OpenVINO™
• Stable Diffusion v2.1 using OpenVINO TorchDynamo backend
• Text-to-Image Generation with Stable Diffusion and OpenVINO™
• Stable Diffusion with KerasCV and OpenVINO
• Image Generation with Stable Diffusion and IP-Adapter
• Speech to Text with OpenVINO™
• Text Generation via Speculative Sampling, KV Caching, and OpenVINO™
• Sound Generation with AudioLDM2 and OpenVINO™
• SoftVC VITS Singing Voice Conversion and OpenVINO™
• Video Recognition using SlowFast and OpenVINO™
• Zero-shot Image Classification with SigLIP
• Semantic Segmentation with OpenVINO™ using Segmenter
• Object masks from prompts with SAM and OpenVINO
• Single step image generation using SDXL-turbo and OpenVINO
• Background removal with RMBG v1.4 and OpenVINO
• Text-to-Music generation using Riffusion and OpenVINO
• Interactive question answering with OpenVINO™
• Generate creative QR codes with ControlNet QR Code Monster and OpenVINO™
• Speaker diarization
• Document Visual Question Answering Using Pix2Struct and OpenVINO™
• Text-to-image generation using PhotoMaker and OpenVINO
• Paint By Example: Exemplar-based Image Editing with Diffusion Models
• Optical Character Recognition (OCR) with OpenVINO™
• Voice tone cloning with OpenVoice and OpenVINO
• Universal Segmentation with OneFormer and OpenVINO
• Named entity recognition with OpenVINO™
• Controllable Music Generation with MusicGen and OpenVINO
• Mobile language assistant with MobileVLM and OpenVINO
• Visual Content Search using MobileCLIP and OpenVINO
• MMS: Scaling Speech Technology to 1000+ languages with OpenVINO™
• Industrial Meter Reader
• Magika: AI powered fast and efficient file type identification using OpenVINO
• Machine translation demo
• Create a RAG system using OpenVINO and LangChain
• LLM Instruction-following pipeline with OpenVINO
• Create an LLM-powered Chatbot using OpenVINO
• Visual-language assistant with LLaVA Next and OpenVINO
• Visual-language assistant with Video-LLaVA and OpenVINO
• Visual-language assistant with LLaVA and OpenVINO
• Text-to-Image Generation with LCM LoRA and ControlNet Conditioning
• Latent Consistency Model using Optimum-Intel OpenVINO
• Image generation with Latent Consistency Model and OpenVINO
• Kosmos-2: Multimodal Large Language Model and OpenVINO
• OpenVINO optimizations for Knowledge graphs
• Image Editing with InstructPix2Pix and OpenVINO
• InstantID: Zero-shot Identity-Preserving Generation using OpenVINO
• Image In-painting with OpenVINO™
• Binding multimodal data using ImageBind and OpenVINO
• Handwritten Chinese and Japanese OCR with OpenVINO™
• Object detection and masking from prompts with GroundedSAM (GroundingDINO + SAM) and OpenVINO
• Grammatical Error Correction with OpenVINO
• High-Quality Text-Free One-Shot Voice Conversion with FreeVC and OpenVINO™
• Frame interpolation using FILM and OpenVINO
• FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attention
• Object segmentations with FastSAM and OpenVINO
• Audio compression with EnCodec and OpenVINO
• Object segmentations with EfficientSAM and OpenVINO
• Instruction following using Databricks Dolly 2.0 and OpenVINO
• Sentiment Analysis with OpenVINO™
• Automatic speech recognition using Distil-Whisper and OpenVINO
• Monocular Visual-Inertial Depth Estimation using OpenVINO™
• Depth estimation with DepthAnything and OpenVINO
• Post-Training Quantization and Weights Compression of DeepFloyd IF model with NNCF
• Image generation with DeepFloyd IF and OpenVINO™
• Image generation with DeciDiffusion and OpenVINO
• Cross-lingual Books Alignment with Transformers and OpenVINO™
• Text-to-Image Generation with ControlNet Conditioning
• Programming Language Classification with OpenVINO
• Zero-shot Image Classification with OpenAI CLIP and OpenVINO™
• Language-Visual Saliency with CLIP and OpenVINO™
• Visual Question Answering and Image Captioning using BLIP and OpenVINO
• Subject-driven image generation and editing using BLIP Diffusion and OpenVINO
• Text-to-speech generation using Bark and OpenVINO
• The attention center model with OpenVINO™
• Image-to-Video synthesis with AnimateAnyone and OpenVINO
• Lightweight image generation with aMUSEd and OpenVINO
• Part Segmentation of 3D Point Clouds with OpenVINO™

Model Training

• From Training to Deployment with TensorFlow and OpenVINO™
• Quantization Aware Training with NNCF, using TensorFlow Framework
• Quantization Aware Training with NNCF, using PyTorch framework

Optimize

• Post-Training Quantization with TensorFlow Classification Model
• Quantization Aware Training with NNCF, using TensorFlow Framework
• Quantize Wav2Vec Speech Recognition Model using NNCF PTQ API
• Quantize Data2Vec Speech Recognition Model using NNCF PTQ API
• Accelerate Inference of Sparse Transformer Models with OpenVINO™ and 4th Gen Intel® Xeon® Scalable Processors
• Convert and Optimize YOLOv8 with OpenVINO™
• Quantize Speech Recognition Models with accuracy control using NNCF PTQ API
• Quantization Aware Training with NNCF, using PyTorch framework
• Post-Training Quantization of PyTorch models with NNCF
• Optimize Preprocessing
• Voice tone cloning with OpenVoice and OpenVINO
• OpenVINO Tokenizers: Incorporate Text Processing Into OpenVINO Pipelines
• Quantize NLP models with Post-Training Quantization ​in NNCF
• OpenVINO optimizations for Knowledge graphs
• Quantization of Image Classification Models
• Object detection and masking from prompts with GroundedSAM (GroundingDINO + SAM) and OpenVINO
• Quantize a Segmentation Model and Show Live Inference
• Big Transfer Image Classification Model Quantization pipeline with NNCF