SMART

Labeling tool

An open-source platform to efficiently build and manage labeled training datasets for supervised machine learning tasks

Smarter Manual Annotation for Resource-constrained collection of Training data

GitHub

224 stars
21 watching
31 forks
Language: Python
last commit: 15 days ago
Linked from 1 awesome list

active-learninglabeling-toolsupervised-learningtext-classification

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
datasystemsgrouput/smartml A tool for automating supervised machine learning tasks using meta-learning and Bayesian optimization. 25
hitachi-automotive-and-industry-lab/semantic-segmentation-editor A web-based tool for labeling and annotating images and 3D point clouds for machine learning model training 1,827
pokaxpoka/rognoisylabel A Python package for robust inference via generative classifiers for handling noisy labels in machine learning. 33
sweppner/labeld A tool for annotating images with tags and categories 134
datagym-ai/datagym-core An open source tool for annotating and labeling images and videos. 47
bmw-innovationlab/bmw-labeltool-lite An image annotation tool for deep learning training with auto-labeling and bounding box creation capabilities 318
janfreyberg/superintendent An interactive tool for flexible data labeling and combining with machine learning models 189
alexandre01/ultimatelabeling A multi-purpose video labeling GUI with integrated object detection and tracking capabilities 316
timonvs/pr-labeler-action Automates label application on GitHub pull requests based on branch name patterns 249
smartcorelib/smartcore A comprehensive Rust-based library providing tools and frameworks for machine learning and numerical computing. 719
alexeyab/yolo_mark A GUI tool for labeling images to train neural network object detection models like YOLO v2 and v3. 1,810
code-kern-ai/refinery A tool to help data scientists manage and annotate natural language data for training AI models 1,405
nust-machine-intelligence-laboratory/jo-src An implementation of a contrastive learning approach to address noisy labels in machine learning models 5
sergioburdisso/pyss3 A Python package implementing an interpretable machine learning model for text classification with visualization tools 336
moucheng2017/med-noisy-labels Provides PyTorch implementation of a method to address noisy labels in medical image segmentation. 71