There are 31 repositories under active-learning topic.
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency.
A modular active learning framework for Python
The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.
:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions
A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
Everything you need about Active Learning (AL).
Curated list of open source tooling for data-centric AI on unstructured data.
A curated list of awesome Active Learning
INCEpTION provides a semantic annotation platform offering intelligent annotation assistance and knowledge management.
MONAI Label is an intelligent open source image labeling and learning tool.
Active Learning for Text Classification in Python
🍳 Recipes for the Prodigy, our fully scriptable annotation tool
The toolkit to test, validate, and evaluate your models and surface, curate, and prioritize the most valuable data for labeling.
The deep potential generator to generate a deep-learning based model of interatomic potential energy and force field
Open source no-code system for text annotation and building of text classifiers
A web-based document annotation tool, powered by GPT-4 :rocket:
Tools for detecting wildlife in aerial images using active learning
A scalable & efficient active learning/data selection system for everyone.
Smarter Manual Annotation for Resource-constrained collection of Training data
Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For the blog:
🧬 A JupyterLab extension for annotating data with Prodigy
Gaussian Processes for Experimental Sciences