onnx

#IOS#YOLOv5 🚀 是在 COCO 数据集上预训练的一系列对象检测架构和模型，代表 Ultralytics 对未来视觉 AI 方法的开源研究，结合了经过数千小时研究和开发的经验教训和最佳实践。

#计算机科学#Netron是一种用于神经网络、深度学习和机器学习模型的可视化工具

#安卓#ncnn 是一个为手机端极致优化的高性能神经网络前向计算框架

#计算机科学#ONNX 是一种针对机器学习所设计的开放式的文件格式，用于存储训练好的模型。它使得不同的人工智能框架（如Pytorch、MXNet）可以采用相同格式存储模型数据并交互。

#计算机科学#ONNX Runtime：跨平台、高性能机器学习推理和训练加速器

#大语言模型#Unified framework for building enterprise RAG pipelines with small, specialized models

#计算机科学#burn 是一个Rust的深度学习框架

#计算机科学#🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

#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/

#安卓#Open source real-time translation app for Android that runs locally

#大语言模型#LangChain4j is an open-source Java library that simplifies the integration of LLMs into Java applications through a unified API, providing access to popular LLMs and vector databases. It makes impleme...

#下载器#A collection of pre-trained, state-of-the-art models in the ONNX format

#计算机科学#基于深度学习检测文件内容类型

#安卓#Sherpa-ONNX 是一个轻量级语音识别框架， 基于 Kaldi 和 onnxruntime，无需联网即可实现语音转文本、文本转语音、说话人分离以及语音活动检测(VAD)。支持嵌入式系统、安卓、iOS、鸿蒙系统、树莓派、RISC-V、x86_64 服务器、WebSocket 服务器 / 客户端，以及 C/C++、Python、Kotlin、C#、Go、NodeJS、Java、Swift、Dart、JavaScript、Flutter、Object Pascal、Lazarus、Rust 等编程语言。

Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.

Silero VAD: pre-trained enterprise-grade Voice Activity Detector

Remove backgrounds from images directly in the browser environment with ease and no additional costs or privacy concerns. Explore an interactive demo.

#大语言模型#Effortless data labeling with AI support from Segment Anything and other awesome models.

#计算机科学#Setup and customize deep learning environment in seconds.

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyT...