Showing 61-80 of 93 projects
An open-source tool for scaling, assessing, and maintaining natural language data for AI/ML models.
A comprehensive PyTorch-based code repository for image classification, including training, prediction, TTA, model fusion, deployment, and more.
Unsupervised image classification library using contrastive learning and SCAN algorithm.
A Python toolkit for building and fine-tuning deep learning models, including NLP and question answering.
An open-source tool for quickly annotating and labeling images for computer vision and deep learning projects.
PyTorch implementation of a multi-label image recognition model using graph convolutional networks.
Funktional generic type-level programming in Rust: HList, Coproduct, Generic, LabelledGeneric, Validated, Monoid and friends.
A labeling extension for Automatic1111's Stable Diffusion web UI, focused on AI-assisted content tagging.
Adala is an autonomous data labeling agent framework for building AI applications with GPT-4 and other AI tools.
A popular open-source Discord ticket management bot with features like ticket transcripts and self-hosting.
An open-source framework for object counting systems using TensorFlow and Keras.
A simple and feature-rich todo app built with Flutter following the BLoC pattern, with support for projects, labels, and due dates.
A package for repelling overlapping text labels in ggplot2 visualizations, useful for vibe coders.
A Python library for converting JSON annotations into YOLO format for object detection.
Automated Deep Learning without any human intervention, the first solution for the AutoDL challenge@NeurIPS.
An open-source Prometheus exporter for AWS CloudWatch, providing CloudWatch metrics as Prometheus metrics.
A Python framework for sequence labeling evaluation, useful for named-entity recognition and POS tagging.
An all-in-one data labeling and annotation platform for multimodal data training, supporting 3D LiDAR, images, and language models.
A Python library for semi-supervised learning, focused on improving model performance with limited labeled data.
A powerful and easy-to-use toolkit for implementing various computer vision tasks on Android, including text recognition, barcode scanning, image labeling, face detection, and object detection.
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