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| # OpenVINO Notebooks | |
| [OpenVINO™ Notebooks at GitHub Pages](https://openvinotoolkit.github.io/openvino_notebooks/) | |
| ## AI Trends | |
| - [Video generation with ZeroScope and OpenVINO](./zeroscope-text2video/zeroscope-text2video.ipynb) | |
| - [Convert and Optimize YOLOv9 with OpenVINO™](./yolov9-optimization/yolov9-optimization.ipynb) | |
| - [Convert and Optimize YOLOv8 real-time object detection with OpenVINO™](./yolov8-optimization/yolov8-object-detection.ipynb) | |
| - [YOLOv8 Oriented Bounding Boxes Object Detection with OpenVINO™](./yolov8-optimization/yolov8-obb.ipynb) | |
| - [Convert and Optimize YOLOv8 keypoint detection model with OpenVINO™](./yolov8-optimization/yolov8-keypoint-detection.ipynb) | |
| - [Convert and Optimize YOLOv8 instance segmentation model with OpenVINO™](./yolov8-optimization/yolov8-instance-segmentation.ipynb) | |
| - [Convert and Optimize YOLOv10 with OpenVINO](./yolov10-optimization/yolov10-optimization.ipynb) | |
| - [Image generation with Würstchen and OpenVINO](./wuerstchen-image-generation/wuerstchen-image-generation.ipynb) | |
| - [Post-Training Quantization of OpenAI Whisper model with NNCF](./whisper-subtitles-generation/whisper-nncf-quantize.ipynb) | |
| - [Video Subtitle Generation using Whisper and OpenVINO™](./whisper-subtitles-generation/whisper-convert.ipynb) | |
| - [TripoSR feedforward 3D reconstruction from a single image and OpenVINO](./triposr-3d-reconstruction/triposr-3d-reconstruction.ipynb) | |
| - [Image Generation with Tiny-SD and OpenVINO™](./tiny-sd-image-generation/tiny-sd-image-generation.ipynb) | |
| - [Line-level text detection with Surya](./surya-line-level-text-detection/surya-line-level-text-detection.ipynb) | |
| - [LLM-powered chatbot using Stable-Zephyr-3b and OpenVINO](./stable-zephyr-3b-chatbot/stable-zephyr-3b-chatbot.ipynb) | |
| - [Image to Video Generation with Stable Video Diffusion](./stable-video-diffusion/stable-video-diffusion.ipynb) | |
| - [Image generation with Stable Diffusion XL and OpenVINO](./stable-diffusion-xl/stable-diffusion-xl.ipynb) | |
| - [High-resolution image generation with Segmind-VegaRT and OpenVINO](./stable-diffusion-xl/segmind-vegart.ipynb) | |
| - [Text-to-Image Generation with Stable Diffusion v2 and OpenVINO™](./stable-diffusion-v2/stable-diffusion-v2-text-to-image.ipynb) | |
| - [Stable Diffusion Text-to-Image Demo](./stable-diffusion-v2/stable-diffusion-v2-text-to-image-demo.ipynb) | |
| - [Stable Diffusion v2.1 using Optimum-Intel OpenVINO and multiple Intel Hardware](./stable-diffusion-v2/stable-diffusion-v2-optimum-demo.ipynb) | |
| - [Infinite Zoom Stable Diffusion v2 and OpenVINO™](./stable-diffusion-v2/stable-diffusion-v2-infinite-zoom.ipynb) | |
| - [Stable Diffusion with KerasCV and OpenVINO](./stable-diffusion-keras-cv/stable-diffusion-keras-cv.ipynb) | |
| - [Image Generation with Stable Diffusion and IP-Adapter](./stable-diffusion-ip-adapter/stable-diffusion-ip-adapter.ipynb) | |
| - [Image generation with Stable Cascade and OpenVINO](./stable-cascade-image-generation/stable-cascade-image-generation.ipynb) | |
| - [Sound Generation with AudioLDM2 and OpenVINO™](./sound-generation-audioldm2/sound-generation-audioldm2.ipynb) | |
| - [SoftVC VITS Singing Voice Conversion and OpenVINO™](./softvc-voice-conversion/softvc-voice-conversion.ipynb) | |
| - [Object masks from prompts with SAM and OpenVINO](./segment-anything/segment-anything.ipynb) | |
| - [Single step image generation using SDXL-turbo and OpenVINO](./sdxl-turbo/sdxl-turbo.ipynb) | |
| - [Generate creative QR codes with ControlNet QR Code Monster and OpenVINO™](./qrcode-monster/qrcode-monster.ipynb) | |
| - [Text-to-image generation using PhotoMaker and OpenVINO](./photo-maker/photo-maker.ipynb) | |
| - [Voice tone cloning with OpenVoice and OpenVINO](./openvoice/openvoice.ipynb) | |
| - [Visual-language assistant with nanoLLaVA and OpenVINO](./nano-llava-multimodal-chatbot/nano-llava-multimodal-chatbot.ipynb) | |
| - [Controllable Music Generation with MusicGen and OpenVINO](./music-generation/music-generation.ipynb) | |
| - [Mobile language assistant with MobileVLM and OpenVINO](./mobilevlm-language-assistant/mobilevlm-language-assistant.ipynb) | |
| - [Visual Content Search using MobileCLIP and OpenVINO](./mobileclip-video-search/mobileclip-video-search.ipynb) | |
| - [Magika: AI powered fast and efficient file type identification using OpenVINO](./magika-content-type-recognition/magika-content-type-recognition.ipynb) | |
| - [Create a RAG system using OpenVINO and LangChain](./llm-rag-langchain/llm-rag-langchain.ipynb) | |
| - [LLM Instruction-following pipeline with OpenVINO](./llm-question-answering/llm-question-answering.ipynb) | |
| - [Create an LLM-powered Chatbot using OpenVINO](./llm-chatbot/llm-chatbot.ipynb) | |
| - [Create LLM Agent using OpenVINO](./llm-agent-langchain/llm-agent-langchain.ipynb) | |
| - [Visual-language assistant with LLaVA Next and OpenVINO](./llava-next-multimodal-chatbot/llava-next-multimodal-chatbot.ipynb) | |
| - [Visual-language assistant with Video-LLaVA and OpenVINO](./llava-multimodal-chatbot/videollava-multimodal-chatbot.ipynb) | |
| - [Visual-language assistant with LLaVA and OpenVINO](./llava-multimodal-chatbot/llava-multimodal-chatbot.ipynb) | |
| - [Text-to-Image Generation with LCM LoRA and ControlNet Conditioning](./latent-consistency-models-image-generation/lcm-lora-controlnet.ipynb) | |
| - [Latent Consistency Model using Optimum-Intel OpenVINO](./latent-consistency-models-image-generation/latent-consistency-models-optimum-demo.ipynb) | |
| - [Image generation with Latent Consistency Model and OpenVINO](./latent-consistency-models-image-generation/latent-consistency-models-image-generation.ipynb) | |
| - [Kosmos-2: Multimodal Large Language Model and OpenVINO](./kosmos2-multimodal-large-language-model/kosmos2-multimodal-large-language-model.ipynb) | |
| - [Image Editing with InstructPix2Pix and OpenVINO](./instruct-pix2pix-image-editing/instruct-pix2pix-image-editing.ipynb) | |
| - [InstantID: Zero-shot Identity-Preserving Generation using OpenVINO](./instant-id/instant-id.ipynb) | |
| - [Binding multimodal data using ImageBind and OpenVINO](./image-bind/image-bind.ipynb) | |
| - [Object detection and masking from prompts with GroundedSAM (GroundingDINO + SAM) and OpenVINO](./grounded-segment-anything/grounded-segment-anything.ipynb) | |
| - [Frame interpolation using FILM and OpenVINO](./film-slowmo/film-slowmo.ipynb) | |
| - [Object segmentations with FastSAM and OpenVINO](./fast-segment-anything/fast-segment-anything.ipynb) | |
| - [Object segmentations with EfficientSAM and OpenVINO](./efficient-sam/efficient-sam.ipynb) | |
| - [Animating Open-domain Images with DynamiCrafter and OpenVINO](./dynamicrafter-animating-images/dynamicrafter-animating-images.ipynb) | |
| - [Instruction following using Databricks Dolly 2.0 and OpenVINO](./dolly-2-instruction-following/dolly-2-instruction-following.ipynb) | |
| - [Automatic speech recognition using Distil-Whisper and OpenVINO](./distil-whisper-asr/distil-whisper-asr.ipynb) | |
| - [Depth estimation with DepthAnything and OpenVINO](./depth-anything/depth-anything.ipynb) | |
| - [Image generation with DeciDiffusion and OpenVINO](./decidiffusion-image-generation/decidiffusion-image-generation.ipynb) | |
| - [Text-to-Image Generation with ControlNet Conditioning](./controlnet-stable-diffusion/controlnet-stable-diffusion.ipynb) | |
| - [Zero-shot Image Classification with OpenAI CLIP and OpenVINO™](./clip-zero-shot-image-classification/clip-zero-shot-classification.ipynb) | |
| - [Visual Question Answering and Image Captioning using BLIP and OpenVINO](./blip-visual-language-processing/blip-visual-language-processing.ipynb) | |
| - [Text-to-speech generation using Bark and OpenVINO](./bark-text-to-audio/bark-text-to-audio.ipynb) | |
| - [Image-to-Video synthesis with AnimateAnyone and OpenVINO](./animate-anyone/animate-anyone.ipynb) | |
| ## API Overview | |
| - [Quantize Speech Recognition Models with accuracy control using NNCF PTQ API](./quantizing-model-with-accuracy-control/speech-recognition-quantization-wav2vec2.ipynb) | |
| - [Post-Training Quantization of PyTorch models with NNCF](./pytorch-post-training-quantization-nncf/pytorch-post-training-quantization-nncf.ipynb) | |
| - [Optimize Preprocessing](./optimize-preprocessing/optimize-preprocessing.ipynb) | |
| - [OpenVINO Tokenizers: Incorporate Text Processing Into OpenVINO Pipelines](./openvino-tokenizers/openvino-tokenizers.ipynb) | |
| - [Working with Open Model Zoo Models](./model-tools/model-tools.ipynb) | |
| - [Hello Model Server](./model-server/model-server.ipynb) | |
| - [Quantize NLP models with Post-Training Quantization in NNCF](./language-quantize-bert/language-quantize-bert.ipynb) | |
| - [Quantization of Image Classification Models](./image-classification-quantization/image-classification-quantization.ipynb) | |
| - [🤗 Hugging Face Model Hub with OpenVINO™](./hugging-face-hub/hugging-face-hub.ipynb) | |
| - [Hello NPU](./hello-npu/hello-npu.ipynb) | |
| - [Working with GPUs in OpenVINO™](./gpu-device/gpu-device.ipynb) | |
| - [OpenVINO™ model conversion API](./convert-to-openvino/legacy-mo-convert-to-openvino.ipynb) | |
| - [OpenVINO™ Model conversion](./convert-to-openvino/convert-to-openvino.ipynb) | |
| - [Big Transfer Image Classification Model Quantization pipeline with NNCF](./big-transfer-quantization/tensorflow-bit-image-classification-nncf-quantization.ipynb) | |
| - [Automatic Device Selection with OpenVINO™](./auto-device/auto-device.ipynb) | |
| - [Asynchronous Inference with OpenVINO™](./async-api/async-api.ipynb) | |
| ## Convert | |
| - [Classification with ConvNeXt and OpenVINO](./torchvision-zoo-to-openvino/convnext-classification.ipynb) | |
| - [Convert a Tensorflow Lite Model to OpenVINO™](./tflite-to-openvino/tflite-to-openvino.ipynb) | |
| - [Convert a TensorFlow Object Detection Model to OpenVINO™](./tensorflow-object-detection-to-openvino/tensorflow-object-detection-to-openvino.ipynb) | |
| - [Convert a TensorFlow Instance Segmentation Model to OpenVINO™](./tensorflow-object-detection-to-openvino/tensorflow-instance-segmentation-to-openvino.ipynb) | |
| - [Convert of TensorFlow Hub models to OpenVINO Intermediate Representation (IR)](./tensorflow-hub/tensorflow-hub.ipynb) | |
| - [Convert a TensorFlow Model to OpenVINO™](./tensorflow-classification-to-openvino/tensorflow-classification-to-openvino.ipynb) | |
| - [Line-level text detection with Surya](./surya-line-level-text-detection/surya-line-level-text-detection.ipynb) | |
| - [Convert and Optimize YOLOv8 with OpenVINO™](./quantizing-model-with-accuracy-control/yolov8-quantization-with-accuracy-control.ipynb) | |
| - [Convert a PyTorch Model to OpenVINO™ IR](./pytorch-to-openvino/pytorch-to-openvino.ipynb) | |
| - [Convert a PyTorch Model to ONNX and OpenVINO™ IR](./pytorch-to-openvino/pytorch-onnx-to-openvino.ipynb) | |
| - [Convert a PaddlePaddle Model to OpenVINO™ IR](./paddle-to-openvino/paddle-to-openvino-classification.ipynb) | |
| - [Voice tone cloning with OpenVoice and OpenVINO](./openvoice/openvoice.ipynb) | |
| - [OpenVINO Tokenizers: Incorporate Text Processing Into OpenVINO Pipelines](./openvino-tokenizers/openvino-tokenizers.ipynb) | |
| - [Working with Open Model Zoo Models](./model-tools/model-tools.ipynb) | |
| - [Object detection and masking from prompts with GroundedSAM (GroundingDINO + SAM) and OpenVINO](./grounded-segment-anything/grounded-segment-anything.ipynb) | |
| - [Convert Detectron2 Models to OpenVINO™](./detectron2-to-openvino/detectron2-to-openvino.ipynb) | |
| - [Quantize a Segmentation Model and Show Live Inference](./ct-segmentation-quantize/ct-segmentation-quantize-nncf.ipynb) | |
| - [OpenVINO™ model conversion API](./convert-to-openvino/legacy-mo-convert-to-openvino.ipynb) | |
| - [OpenVINO™ Model conversion](./convert-to-openvino/convert-to-openvino.ipynb) | |
| ## Explainable AI | |
| - [Language-Visual Saliency with CLIP and OpenVINO™](./clip-language-saliency-map/clip-language-saliency-map.ipynb) | |
| ## First Steps | |
| - [OpenVINO™ Runtime API Tutorial](./openvino-api/openvino-api.ipynb) | |
| - [Hello Image Classification](./hello-world/hello-world.ipynb) | |
| - [Hello Image Segmentation](./hello-segmentation/hello-segmentation.ipynb) | |
| - [Hello Object Detection](./hello-detection/hello-detection.ipynb) | |
| ## Live Demos | |
| - [Style Transfer with OpenVINO™](./style-transfer-webcam/style-transfer.ipynb) | |
| - [Live Human Pose Estimation with OpenVINO™](./pose-estimation-webcam/pose-estimation.ipynb) | |
| - [Person Tracking with OpenVINO™](./person-tracking-webcam/person-tracking.ipynb) | |
| - [Person Counting System using YOLOV8 and OpenVINO™](./person-counting-webcam/person-counting.ipynb) | |
| - [PaddleOCR with OpenVINO™](./paddle-ocr-webcam/paddle-ocr-webcam.ipynb) | |
| - [Voice tone cloning with OpenVoice and OpenVINO](./openvoice/openvoice.ipynb) | |
| - [Live Object Detection with OpenVINO™](./object-detection-webcam/object-detection.ipynb) | |
| - [Object detection and masking from prompts with GroundedSAM (GroundingDINO + SAM) and OpenVINO](./grounded-segment-anything/grounded-segment-anything.ipynb) | |
| - [Quantize a Segmentation Model and Show Live Inference](./ct-segmentation-quantize/ct-segmentation-quantize-nncf.ipynb) | |
| - [Human Action Recognition with OpenVINO™](./action-recognition-webcam/action-recognition-webcam.ipynb) | |
| - [Live 3D Human Pose Estimation with OpenVINO](./3D-pose-estimation-webcam/3D-pose-estimation.ipynb) | |
| ## Model Demos | |
| - [Video generation with ZeroScope and OpenVINO](./zeroscope-text2video/zeroscope-text2video.ipynb) | |
| - [Convert and Optimize YOLOv9 with OpenVINO™](./yolov9-optimization/yolov9-optimization.ipynb) | |
| - [Convert and Optimize YOLOv8 real-time object detection with OpenVINO™](./yolov8-optimization/yolov8-object-detection.ipynb) | |
| - [YOLOv8 Oriented Bounding Boxes Object Detection with OpenVINO™](./yolov8-optimization/yolov8-obb.ipynb) | |
| - [Convert and Optimize YOLOv8 keypoint detection model with OpenVINO™](./yolov8-optimization/yolov8-keypoint-detection.ipynb) | |
| - [Convert and Optimize YOLOv8 instance segmentation model with OpenVINO™](./yolov8-optimization/yolov8-instance-segmentation.ipynb) | |
| - [Convert and Optimize YOLOv7 with OpenVINO™](./yolov7-optimization/yolov7-optimization.ipynb) | |
| - [Convert and Optimize YOLOv10 with OpenVINO](./yolov10-optimization/yolov10-optimization.ipynb) | |
| - [Image generation with Würstchen and OpenVINO](./wuerstchen-image-generation/wuerstchen-image-generation.ipynb) | |
| - [Post-Training Quantization of OpenAI Whisper model with NNCF](./whisper-subtitles-generation/whisper-nncf-quantize.ipynb) | |
| - [Video Subtitle Generation using Whisper and OpenVINO™](./whisper-subtitles-generation/whisper-convert.ipynb) | |
| - [Super Resolution with PaddleGAN and OpenVINO™](./vision-paddlegan-superresolution/vision-paddlegan-superresolution.ipynb) | |
| - [Photos to Anime with PaddleGAN and OpenVINO](./vision-paddlegan-anime/vision-paddlegan-anime.ipynb) | |
| - [Monodepth Estimation with OpenVINO](./vision-monodepth/vision-monodepth.ipynb) | |
| - [Image Colorization with OpenVINO](./vision-image-colorization/vision-image-colorization.ipynb) | |
| - [Image Background Removal with U^2-Net and OpenVINO™](./vision-background-removal/vision-background-removal.ipynb) | |
| - [Vehicle Detection And Recognition with OpenVINO™](./vehicle-detection-and-recognition/vehicle-detection-and-recognition.ipynb) | |
| - [Typo Detector with OpenVINO™](./typo-detector/typo-detector.ipynb) | |
| - [TripoSR feedforward 3D reconstruction from a single image and OpenVINO](./triposr-3d-reconstruction/triposr-3d-reconstruction.ipynb) | |
| - [Image Generation with Tiny-SD and OpenVINO™](./tiny-sd-image-generation/tiny-sd-image-generation.ipynb) | |
| - [Selfie Segmentation using TFLite and OpenVINO](./tflite-selfie-segmentation/tflite-selfie-segmentation.ipynb) | |
| - [Text Prediction with OpenVINO™](./text-prediction/text-prediction.ipynb) | |
| - [Table Question Answering using TAPAS and OpenVINO™](./table-question-answering/table-question-answering.ipynb) | |
| - [Line-level text detection with Surya](./surya-line-level-text-detection/surya-line-level-text-detection.ipynb) | |
| - [LLM-powered chatbot using Stable-Zephyr-3b and OpenVINO](./stable-zephyr-3b-chatbot/stable-zephyr-3b-chatbot.ipynb) | |
| - [Image to Video Generation with Stable Video Diffusion](./stable-video-diffusion/stable-video-diffusion.ipynb) | |
| - [Image generation with Stable Diffusion XL and OpenVINO](./stable-diffusion-xl/stable-diffusion-xl.ipynb) | |
| - [High-resolution image generation with Segmind-VegaRT and OpenVINO](./stable-diffusion-xl/segmind-vegart.ipynb) | |
| - [Text-to-Image Generation with Stable Diffusion v2 and OpenVINO™](./stable-diffusion-v2/stable-diffusion-v2-text-to-image.ipynb) | |
| - [Stable Diffusion Text-to-Image Demo](./stable-diffusion-v2/stable-diffusion-v2-text-to-image-demo.ipynb) | |
| - [Stable Diffusion v2.1 using Optimum-Intel OpenVINO and multiple Intel Hardware](./stable-diffusion-v2/stable-diffusion-v2-optimum-demo.ipynb) | |
| - [Infinite Zoom Stable Diffusion v2 and OpenVINO™](./stable-diffusion-v2/stable-diffusion-v2-infinite-zoom.ipynb) | |
| - [Stable Diffusion v2.1 using OpenVINO TorchDynamo backend](./stable-diffusion-torchdynamo-backend/stable-diffusion-torchdynamo-backend.ipynb) | |
| - [Text-to-Image Generation with Stable Diffusion and OpenVINO™](./stable-diffusion-text-to-image/stable-diffusion-text-to-image.ipynb) | |
| - [Stable Diffusion with KerasCV and OpenVINO](./stable-diffusion-keras-cv/stable-diffusion-keras-cv.ipynb) | |
| - [Image Generation with Stable Diffusion and IP-Adapter](./stable-diffusion-ip-adapter/stable-diffusion-ip-adapter.ipynb) | |
| - [Image generation with Stable Cascade and OpenVINO](./stable-cascade-image-generation/stable-cascade-image-generation.ipynb) | |
| - [Speech to Text with OpenVINO™](./speech-to-text/speech-to-text.ipynb) | |
| - [Text Generation via Speculative Sampling, KV Caching, and OpenVINO™](./speculative-sampling/speculative-sampling.ipynb) | |
| - [Sound Generation with AudioLDM2 and OpenVINO™](./sound-generation-audioldm2/sound-generation-audioldm2.ipynb) | |
| - [SoftVC VITS Singing Voice Conversion and OpenVINO™](./softvc-voice-conversion/softvc-voice-conversion.ipynb) | |
| - [One Step Sketch to Image translation with pix2pix-turbo and OpenVINO](./sketch-to-image-pix2pix-turbo/sketch-to-image-pix2pix-turbo.ipynb) | |
| - [Zero-shot Image Classification with SigLIP](./siglip-zero-shot-image-classification/siglip-zero-shot-image-classification.ipynb) | |
| - [Object masks from prompts with SAM and OpenVINO](./segment-anything/segment-anything.ipynb) | |
| - [Single step image generation using SDXL-turbo and OpenVINO](./sdxl-turbo/sdxl-turbo.ipynb) | |
| - [Text-to-Video retrieval with S3D MIL-NCE and OpenVINO](./s3d-mil-nce-text-to-video-retrieval/s3d-mil-nce-text-to-video-retrieval.ipynb) | |
| - [Background removal with RMBG v1.4 and OpenVINO](./rmbg-background-removal/rmbg-background-removal.ipynb) | |
| - [Text-to-Music generation using Riffusion and OpenVINO](./riffusion-text-to-music/riffusion-text-to-music.ipynb) | |
| - [Generate creative QR codes with ControlNet QR Code Monster and OpenVINO™](./qrcode-monster/qrcode-monster.ipynb) | |
| - [Speaker diarization](./pyannote-speaker-diarization/pyannote-speaker-diarization.ipynb) | |
| - [Document Visual Question Answering Using Pix2Struct and OpenVINO™](./pix2struct-docvqa/pix2struct-docvqa.ipynb) | |
| - [Text-to-image generation using PhotoMaker and OpenVINO](./photo-maker/photo-maker.ipynb) | |
| - [Paint By Example: Exemplar-based Image Editing with Diffusion Models](./paint-by-example/paint-by-example.ipynb) | |
| - [Optical Character Recognition (OCR) with OpenVINO™](./optical-character-recognition/optical-character-recognition.ipynb) | |
| - [Voice tone cloning with OpenVoice and OpenVINO](./openvoice/openvoice.ipynb) | |
| - [Universal Segmentation with OneFormer and OpenVINO](./oneformer-segmentation/oneformer-segmentation.ipynb) | |
| - [Visual-language assistant with nanoLLaVA and OpenVINO](./nano-llava-multimodal-chatbot/nano-llava-multimodal-chatbot.ipynb) | |
| - [Named entity recognition with OpenVINO™](./named-entity-recognition/named-entity-recognition.ipynb) | |
| - [Controllable Music Generation with MusicGen and OpenVINO](./music-generation/music-generation.ipynb) | |
| - [Mobile language assistant with MobileVLM and OpenVINO](./mobilevlm-language-assistant/mobilevlm-language-assistant.ipynb) | |
| - [Visual Content Search using MobileCLIP and OpenVINO](./mobileclip-video-search/mobileclip-video-search.ipynb) | |
| - [MMS: Scaling Speech Technology to 1000+ languages with OpenVINO™](./mms-massively-multilingual-speech/mms-massively-multilingual-speech.ipynb) | |
| - [Industrial Meter Reader](./meter-reader/meter-reader.ipynb) | |
| - [Magika: AI powered fast and efficient file type identification using OpenVINO](./magika-content-type-recognition/magika-content-type-recognition.ipynb) | |
| - [Create a RAG system using OpenVINO and LangChain](./llm-rag-langchain/llm-rag-langchain.ipynb) | |
| - [LLM Instruction-following pipeline with OpenVINO](./llm-question-answering/llm-question-answering.ipynb) | |
| - [Create an LLM-powered Chatbot using OpenVINO](./llm-chatbot/llm-chatbot.ipynb) | |
| - [Create LLM Agent using OpenVINO](./llm-agent-langchain/llm-agent-langchain.ipynb) | |
| - [Visual-language assistant with LLaVA Next and OpenVINO](./llava-next-multimodal-chatbot/llava-next-multimodal-chatbot.ipynb) | |
| - [Visual-language assistant with Video-LLaVA and OpenVINO](./llava-multimodal-chatbot/videollava-multimodal-chatbot.ipynb) | |
| - [Visual-language assistant with LLaVA and OpenVINO](./llava-multimodal-chatbot/llava-multimodal-chatbot.ipynb) | |
| - [Text-to-Image Generation with LCM LoRA and ControlNet Conditioning](./latent-consistency-models-image-generation/lcm-lora-controlnet.ipynb) | |
| - [Latent Consistency Model using Optimum-Intel OpenVINO](./latent-consistency-models-image-generation/latent-consistency-models-optimum-demo.ipynb) | |
| - [Image generation with Latent Consistency Model and OpenVINO](./latent-consistency-models-image-generation/latent-consistency-models-image-generation.ipynb) | |
| - [Kosmos-2: Multimodal Large Language Model and OpenVINO](./kosmos2-multimodal-large-language-model/kosmos2-multimodal-large-language-model.ipynb) | |
| - [OpenVINO optimizations for Knowledge graphs](./knowledge-graphs-conve/knowledge-graphs-conve.ipynb) | |
| - [Image Editing with InstructPix2Pix and OpenVINO](./instruct-pix2pix-image-editing/instruct-pix2pix-image-editing.ipynb) | |
| - [InstantID: Zero-shot Identity-Preserving Generation using OpenVINO](./instant-id/instant-id.ipynb) | |
| - [Image In-painting with OpenVINO™](./image-inpainting/image-inpainting.ipynb) | |
| - [Binding multimodal data using ImageBind and OpenVINO](./image-bind/image-bind.ipynb) | |
| - [Handwritten Chinese and Japanese OCR with OpenVINO™](./handwritten-ocr/handwritten-ocr.ipynb) | |
| - [Object detection and masking from prompts with GroundedSAM (GroundingDINO + SAM) and OpenVINO](./grounded-segment-anything/grounded-segment-anything.ipynb) | |
| - [Grammatical Error Correction with OpenVINO](./grammar-correction/grammar-correction.ipynb) | |
| - [High-Quality Text-Free One-Shot Voice Conversion with FreeVC and OpenVINO™](./freevc-voice-conversion/freevc-voice-conversion.ipynb) | |
| - [Frame interpolation using FILM and OpenVINO](./film-slowmo/film-slowmo.ipynb) | |
| - [Object segmentations with FastSAM and OpenVINO](./fast-segment-anything/fast-segment-anything.ipynb) | |
| - [Audio compression with EnCodec and OpenVINO](./encodec-audio-compression/encodec-audio-compression.ipynb) | |
| - [Object segmentations with EfficientSAM and OpenVINO](./efficient-sam/efficient-sam.ipynb) | |
| - [Animating Open-domain Images with DynamiCrafter and OpenVINO](./dynamicrafter-animating-images/dynamicrafter-animating-images.ipynb) | |
| - [Instruction following using Databricks Dolly 2.0 and OpenVINO](./dolly-2-instruction-following/dolly-2-instruction-following.ipynb) | |
| - [Sentiment Analysis with OpenVINO™](./distilbert-sequence-classification/distilbert-sequence-classification.ipynb) | |
| - [Automatic speech recognition using Distil-Whisper and OpenVINO](./distil-whisper-asr/distil-whisper-asr.ipynb) | |
| - [Depth estimation with DepthAnything and OpenVINO](./depth-anything/depth-anything.ipynb) | |
| - [Image generation with DeciDiffusion and OpenVINO](./decidiffusion-image-generation/decidiffusion-image-generation.ipynb) | |
| - [Cross-lingual Books Alignment with Transformers and OpenVINO™](./cross-lingual-books-alignment/cross-lingual-books-alignment.ipynb) | |
| - [Text-to-Image Generation with ControlNet Conditioning](./controlnet-stable-diffusion/controlnet-stable-diffusion.ipynb) | |
| - [Zero-shot Image Classification with OpenAI CLIP and OpenVINO™](./clip-zero-shot-image-classification/clip-zero-shot-classification.ipynb) | |
| - [Language-Visual Saliency with CLIP and OpenVINO™](./clip-language-saliency-map/clip-language-saliency-map.ipynb) | |
| - [Visual Question Answering and Image Captioning using BLIP and OpenVINO](./blip-visual-language-processing/blip-visual-language-processing.ipynb) | |
| - [Text-to-speech generation using Bark and OpenVINO](./bark-text-to-audio/bark-text-to-audio.ipynb) | |
| - [Image-to-Video synthesis with AnimateAnyone and OpenVINO](./animate-anyone/animate-anyone.ipynb) | |
| - [Lightweight image generation with aMUSEd and OpenVINO](./amused-lightweight-text-to-image/amused-lightweight-text-to-image.ipynb) | |
| - [Part Segmentation of 3D Point Clouds with OpenVINO™](./3D-segmentation-point-clouds/3D-segmentation-point-clouds.ipynb) | |
| ## Model Training | |
| - [Quantization Aware Training with NNCF, using TensorFlow Framework](./tensorflow-quantization-aware-training/tensorflow-quantization-aware-training.ipynb) | |
| - [Quantization-Sparsity Aware Training with NNCF, using PyTorch framework](./pytorch-quantization-sparsity-aware-training/pytorch-quantization-sparsity-aware-training.ipynb) | |
| - [Quantization Aware Training with NNCF, using PyTorch framework](./pytorch-quantization-aware-training/pytorch-quantization-aware-training.ipynb) | |
| ## Optimize | |
| - [Quantization Aware Training with NNCF, using TensorFlow Framework](./tensorflow-quantization-aware-training/tensorflow-quantization-aware-training.ipynb) | |
| - [Quantize Wav2Vec Speech Recognition Model using NNCF PTQ API](./speech-recognition-quantization/speech-recognition-quantization-wav2vec2.ipynb) | |
| - [Quantize Data2Vec Speech Recognition Model using NNCF PTQ API](./speech-recognition-quantization/speech-recognition-quantization-data2vec.ipynb) | |
| - [Accelerate Inference of Sparse Transformer Models with OpenVINO™ and 4th Gen Intel® Xeon® Scalable Processors](./sparsity-optimization/sparsity-optimization.ipynb) | |
| - [Convert and Optimize YOLOv8 with OpenVINO™](./quantizing-model-with-accuracy-control/yolov8-quantization-with-accuracy-control.ipynb) | |
| - [Quantize Speech Recognition Models with accuracy control using NNCF PTQ API](./quantizing-model-with-accuracy-control/speech-recognition-quantization-wav2vec2.ipynb) | |
| - [Quantization-Sparsity Aware Training with NNCF, using PyTorch framework](./pytorch-quantization-sparsity-aware-training/pytorch-quantization-sparsity-aware-training.ipynb) | |
| - [Quantization Aware Training with NNCF, using PyTorch framework](./pytorch-quantization-aware-training/pytorch-quantization-aware-training.ipynb) | |
| - [Post-Training Quantization of PyTorch models with NNCF](./pytorch-post-training-quantization-nncf/pytorch-post-training-quantization-nncf.ipynb) | |
| - [Optimize Preprocessing](./optimize-preprocessing/optimize-preprocessing.ipynb) | |
| - [Voice tone cloning with OpenVoice and OpenVINO](./openvoice/openvoice.ipynb) | |
| - [OpenVINO Tokenizers: Incorporate Text Processing Into OpenVINO Pipelines](./openvino-tokenizers/openvino-tokenizers.ipynb) | |
| - [Quantize NLP models with Post-Training Quantization in NNCF](./language-quantize-bert/language-quantize-bert.ipynb) | |
| - [OpenVINO optimizations for Knowledge graphs](./knowledge-graphs-conve/knowledge-graphs-conve.ipynb) | |
| - [Quantization of Image Classification Models](./image-classification-quantization/image-classification-quantization.ipynb) | |
| - [Object detection and masking from prompts with GroundedSAM (GroundingDINO + SAM) and OpenVINO](./grounded-segment-anything/grounded-segment-anything.ipynb) | |
| - [Quantize a Segmentation Model and Show Live Inference](./ct-segmentation-quantize/ct-segmentation-quantize-nncf.ipynb) | |
| - [Big Transfer Image Classification Model Quantization pipeline with NNCF](./big-transfer-quantization/tensorflow-bit-image-classification-nncf-quantization.ipynb) | |