#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/
翻译 - YOLOX是一款高性能的无锚YOLO,超越yolov3~v5,支持ONNX、TensorRT、ncnn、OpenVINO。
#自然语言处理#OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
翻译 - OpenVINO™工具包存储库
Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.
翻译 - 使用OpenCV 4和更高版本进行计算机视觉打包。
#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🔥
翻译 - ⚡超级快速,轻巧的无锚物体检测模型。 1.8仅1.8mb并在手机上运行97FPS🔥
#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。
Pre-trained Deep Learning models and demos (high quality and extremely fast)
翻译 - 预先训练的深度学习模型和样本(高质量且快速)
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
翻译 - An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
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), ...
翻译 - A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. ONNX. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin, .onnx]
📄 Awesome OCR multiple programing languages toolkits based on ONNXRuntime, OpenVINO, PaddlePaddle and PyTorch.
#安卓#⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for ☁️Cloud 📱Mobile and 📹Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end ...
#计算机科学#OpenMMLab Model Deployment Framework
翻译 - OpenMMLab 模型部署框架
#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™
翻译 - 可训练的模型和NN优化工具
#自然语言处理#Neural Network Compression Framework for enhanced OpenVINO™ inference