Showing 1-14 of 14 projects
AI learning repository with tutorials and implementations for machine learning, deep learning, and data analysis
Open standard for ML interoperability and model exchange
Provides AI-powered tools and samples for developers to build cutting-edge applications with Microsoft AI.
A Go package for computer vision using OpenCV 4 and beyond, with support for DNN, CUDA, and more.
A high-performance and generic framework for distributed deep neural network training
A comprehensive collection of research papers on automatic speech recognition, speech synthesis, and related topics.
A PyTorch-based project for developing state-of-the-art speech recognition systems using the Kaldi toolkit.
A TypeScript library that accelerates the execution of deep neural networks in web browsers, optimized for AI-powered web apps.
A GUI tool for marking bounding boxes in images for training object detection models like YOLO.
A Python toolkit for building and fine-tuning deep learning models, including NLP and question answering.
Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.
A Scala-based hardware accelerator for deep neural networks, part of Berkeley's AI hardware research.
DNN (formerly DotNetNuke) is an open-source web content management platform (CMS) for the Microsoft ecosystem.
A flexible and efficient DNN compiler that generates high-performance executable from DNN models.
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