Showing 21-40 of 93 projects
A TypeScript-based desktop app for building end-to-end object detection models from images and videos.
A drop-in replacement for UILabel with a scrolling marquee effect for iOS and tvOS apps.
A curated list of awesome data labeling tools for developers working with AI and computer vision.
A Jupyter Notebook project that helps developers label their own data and train custom AI models.
Navigate your code with search labels, enhanced character motions and Treesitter integration
A JavaScript library for placing labels on a timeline without overlap.
An open-source tool for labeling images and training computer vision models using a variety of popular detection models.
Effortless AI-assisted data labeling with support from YOLO, Segment Anything (SAM, SAM2), and MobileSAM.
A curated collection of deep learning research papers organized by task and with the latest state-of-the-art work labeled.
A React Native library with custom text input animations and UI effects for iOS and Android.
Deep learning-based image classification system for danbooru images using TensorFlow.
A powerful Objective-C library for creating attributed text labels with rich formatting and custom views.
A curated list of resources for Learning with Noisy Labels, focusing on robust deep learning models.
A fast, easy, and collaborative open-source image annotation tool for teams and individuals.
A Python database system for building AI-powered applications, featuring tools for data analysis, labeling, and serving.
An AI-powered tool for training supervised models without manual labeling, using foundation models and multimodal learning.
A PyTorch-based project for developing state-of-the-art speech recognition systems using the Kaldi toolkit.
An action for automatically labelling pull requests on GitHub repositories.
Automate semantic version-based release generation for GitHub projects.
Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification.
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