#大语言模型#Unified framework for building enterprise RAG pipelines with small, specialized models
#计算机科学#YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
#自然语言处理#OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.
#安卓#NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
#人脸识别#由腾讯优图实验室开源的高性能、轻量级神经网络推理框架,同时拥有跨平台、高性能、模型压缩、代码裁剪等众多突出优势。
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
📄 Awesome OCR multiple programing languages toolkits based on ONNXRuntime, OpenVINO, PaddlePaddle and PyTorch.
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), ...
A nearly-live implementation of OpenAI's Whisper.
#计算机科学#OpenMMLab Model Deployment Framework
#计算机科学#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
#计算机科学#Deep learning gateway on Raspberry Pi and other edge devices
Add bisenetv2. My implementation of BiSeNet
#计算机科学#Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
#自然语言处理#Neural Network Compression Framework for enhanced OpenVINO™ inference