📄 Awesome OCR multiple programing languages toolkits based on ONNX Runtime, OpenVINO, MNN, PaddlePaddle, TensorRT and PyTorch.
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
Open-source library of optimized deep learning operations (matmul, convolution, attention) for CPUs (x64, AArch64, RISC-V) and Intel GPUs. Used by PyTorch, TensorFlow, OpenVINO, and ONNX Runtime.
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
📚 Jupyter notebook tutorials for OpenVINO™
Unified framework for building enterprise RAG pipelines with small, specialized models
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
Pre-trained Deep Learning models and demos (high quality and extremely fast)
A nearly-live implementation of OpenAI's Whisper.
Fast stable diffusion on CPU and AI PC
A set of AI-enabled effects, generators, and analyzers for Audacity®.
Build, train, optimize, and run computer vision models locally, from raw images to live inference. Open source, optimized for Intel XPU (CPU-only and CUDA also supported).
Neural Network Compression Framework for enhanced OpenVINO™ inference
A scalable inference server for models optimized with OpenVINO™
GIMP AI plugins with OpenVINO Backend
Deep Learning Streamer (DL Streamer) Pipeline Framework is an open-source streaming media analytics framework, based on GStreamer* multimedia framework, for creating complex media analytics pipelines for the Cloud or at the Edge.
🤗 Optimum Intel: Accelerate inference with Intel optimization tools
Run Generative AI models with simple C++/Python API and using OpenVINO Runtime
Inference engine for Intel devices. Serve LLMs, VLMs, Whisper, Kokoro-TTS, Embedding and Rerank models over OpenAI endpoints.
Write and run custom C kernels for Intel Core Ultra NPUs
CPU-friendly sidecar that OCRs paperless-ngx documents with PaddleOCR PP-OCRv6 and writes text back via the API.
Add bisenetv2. My implementation of BiSeNet