active-learning
There are 562 repositories under active-learning topic.
cleanlab/cleanlab
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
voxel51/fiftyone
Refine high-quality datasets and visual AI models
VowpalWabbit/vowpal_wabbit
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-io/argilla
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
modAL-python/modAL
A modular active learning framework for Python
code-kern-ai/refinery
The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.
python-adaptive/adaptive
:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions
SupeRuier/awesome-active-learning
Everything you need about Active Learning (AL).
baal-org/baal
Bayesian active learning library for research and industrial usecases.
NUAA-AL/ALiPy
ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze the performance of active learning methods.
shubhomoydas/ad_examples
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.
ej0cl6/deep-active-learning
Deep Active Learning
ntucllab/libact
Pool-based active learning in Python
baifanxxx/awesome-active-learning
A curated list of awesome Active Learning
asreview/asreview
Active learning for systematic reviews
Project-MONAI/MONAILabel
MONAI Label is an intelligent open source image labeling and learning tool.
walzimmer/3d-bat
3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling
Renumics/awesome-open-data-centric-ai
Curated list of open source tooling for data-centric AI on unstructured data.
inception-project/inception
INCEpTION provides a semantic annotation platform offering intelligent annotation assistance and knowledge management.
webis-de/small-text
Active Learning for Text Classification in Python
explosion/prodigy-recipes
🍳 Recipes for the Prodigy, our fully scriptable annotation tool
encord-team/encord-active
The toolkit to test, validate, and evaluate your models and surface, curate, and prioritize the most valuable data for labeling.
emdgroup/baybe
Bayesian Optimization and Design of Experiments
deepmodeling/dpgen
The deep potential generator to generate a deep-learning based model of interatomic potential energy and force field
yuantn/MI-AOD
Code for Multiple Instance Active Learning for Object Detection, CVPR 2021
experimental-design/bofire
Experimental design and (multi-objective) bayesian optimization.
ANSSI-FR/SecuML
Machine Learning for Computer Security
label-sleuth/label-sleuth
Open source no-code system for text annotation and building of text classifiers
samueldobbie/markup
A web-based document annotation tool, powered by GPT-4 :rocket:
microsoft/aerial_wildlife_detection
Tools for detecting wildlife in aerial images using active learning
RTIInternational/SMART
Smarter Manual Annotation for Resource-constrained collection of Training data
ziatdinovmax/gpax
Gaussian Processes for Experimental Sciences
Mephisto405/Learning-Loss-for-Active-Learning
Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]
HuaizhengZhang/Active-Learning-as-a-Service
A scalable & efficient active learning/data selection system for everyone.
benedekrozemberczki/SEAL-CI
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
dsgissin/DiscriminativeActiveLearning
Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For the blog: