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。
#计算机科学#The user analytics platform for LLMs
翻译 - Easy-to-use library to boost AI inference leveraging multiple DL compilers
#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
#计算机科学#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🔥
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]
#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 ...
OpenMMLab Model Deployment Framework
翻译 - OpenMMLab 模型部署框架
#计算机科学#📚 Jupyter notebook tutorials for OpenVINO™
翻译 - Ju用于学习和尝试OpenVINO的Jupyter笔记本系列👓
#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
Tutorial for Using Custom Layers with OpenVINO (Intel Deep Learning Toolkit)
翻译 - 在OpenVINO中使用自定义层的教程(英特尔深度学习工具包)