Unified framework for building enterprise RAG pipelines with small, specialized models
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Updated
Jul 24, 2025 - Python
Unified framework for building enterprise RAG pipelines with small, specialized models
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
đź“„ Awesome OCR multiple programing languages toolkits based on ONNXRuntime, OpenVINO, PaddlePaddle and PyTorch.
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
Pre-trained Deep Learning models and demos (high quality and extremely fast)
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.
A nearly-live implementation of OpenAI's Whisper.
OpenMMLab Model Deployment Framework
Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.
Fast stable diffusion on CPU and AI PC
Deep learning gateway on Raspberry Pi and other edge devices
Add bisenetv2. My implementation of BiSeNet
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
Neural Network Compression Framework for enhanced OpenVINO™ inference
Contains examples for the Movidius Neural Compute Stick.
Fast and accurate face landmark detection library using PyTorch; Support 68-point semi-frontal and 39-point profile landmark detection; Support both coordinate-based and heatmap-based inference; Up to 100 FPS landmark inference speed with SOTA face detector on CPU.
An official implementation of MobileStyleGAN in PyTorch
Real-time 3D multi-person pose estimation demo in PyTorch. OpenVINO backend can be used for fast inference on CPU.
ONNX-compatible LightGlue: Local Feature Matching at Light Speed. Supports TensorRT, OpenVINO
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