GitHub topics: active-learning
argilla-io/argilla
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
Language: Python - Size: 772 MB - Last synced at: about 1 hour ago - Pushed at: about 2 hours ago - Stars: 4,463 - Forks: 426

QuantumMisaka/dpeva
Deep Potential Evolution Accelerator
Language: Python - Size: 29.5 MB - Last synced at: about 9 hours ago - Pushed at: about 10 hours ago - Stars: 16 - Forks: 0

python-adaptive/adaptive
:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions
Language: Python - Size: 5.7 MB - Last synced at: about 1 hour ago - Pushed at: about 2 hours ago - Stars: 1,187 - Forks: 58

Plant-Food-Research-Open/calisim
A toolbox for the calibration and evaluation of simulation models.
Language: Python - Size: 6.01 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 13 - Forks: 1

asreview/asreview
Active learning for systematic reviews
Language: Python - Size: 135 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 715 - Forks: 128

HFooladi/molax
Molecular active learning with JAX
Language: Python - Size: 47.9 KB - Last synced at: 2 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

doccano/doccano-client
A simple client for doccano API.
Language: Python - Size: 1.41 MB - Last synced at: 11 minutes ago - Pushed at: 11 months ago - Stars: 85 - Forks: 66

voxel51/fiftyone
Refine high-quality datasets and visual AI models
Language: Python - Size: 1.91 GB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 9,386 - Forks: 616

emdgroup/baybe
Bayesian Optimization and Design of Experiments
Language: Python - Size: 62.9 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 338 - Forks: 54

CogStack/MedCATtrainer
A simple interface to inspect, improve and add concepts to biomedical NER+L -> MedCAT.
Language: Python - Size: 11 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 80 - Forks: 35

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.
Language: C++ - Size: 157 MB - Last synced at: 4 days ago - Pushed at: 6 months ago - Stars: 8,551 - Forks: 1,930

BAMresearch/MAPz_at_BAM
Materials Acceleration Platform Center at BAM
Language: Python - Size: 47.4 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 4 - Forks: 0

pietrolesci/anchoral
This is the official PyTorch implementation for our NAACL 2024 paper: "AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets".
Language: Python - Size: 424 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 19 - Forks: 1

cure-lab/deep-active-learning
An implementation of the state-of-the-art Deep Active Learning algorithms
Language: Python - Size: 1.56 GB - Last synced at: 3 days ago - Pushed at: over 1 year ago - Stars: 103 - Forks: 18

ntucllab/libact
Pool-based active learning in Python
Language: Python - Size: 1.85 MB - Last synced at: 4 days ago - Pushed at: almost 2 years ago - Stars: 782 - Forks: 173

experimental-design/bofire
Experimental design and (multi-objective) bayesian optimization.
Language: Jupyter Notebook - Size: 49.6 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 274 - Forks: 31

inception-project/inception
INCEpTION provides a semantic annotation platform offering intelligent annotation assistance and knowledge management.
Language: Java - Size: 128 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 624 - Forks: 158

carls31/active-learning-virtual-SVM
Active Learning with Constrained Virtual Support Vector Machines for Classification of Earth Observation Data
Language: R - Size: 793 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

modAL-python/modAL
A modular active learning framework for Python
Language: Python - Size: 9.13 MB - Last synced at: 8 days ago - Pushed at: about 1 year ago - Stars: 2,272 - Forks: 325

redmod-team/profit
Probabilistic Response mOdel Fitting with Interactive Tools
Language: Python - Size: 3.71 MB - Last synced at: 10 days ago - Pushed at: 3 months ago - Stars: 15 - Forks: 10

mcity/mcity_data_engine
Mcity Data Engine
Language: Python - Size: 21.8 MB - Last synced at: 4 days ago - Pushed at: 5 days ago - Stars: 6 - Forks: 0

matyascorvinus/RL_FRBUS
RL-FRB/US - The novel method which enhance the FRB/US model by Reinforcement Learning and Active Relocation algorithms
Language: Python - Size: 30.4 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 1 - Forks: 0

Project-MONAI/MONAILabel
MONAI Label is an intelligent open source image labeling and learning tool.
Language: Python - Size: 53.3 MB - Last synced at: 9 days ago - Pushed at: 14 days ago - Stars: 687 - Forks: 216

AspirinCode/awesome-AI4MolConformation-MD
List of molecules (small molecules, RNA, peptide, protein, enzymes, antibody, and PPIs) conformations and molecular dynamics (force fields) using generative artificial intelligence and deep learning
Size: 4.9 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 168 - Forks: 16

cleanlab/cleanlab
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Language: Python - Size: 11.5 MB - Last synced at: 12 days ago - Pushed at: about 1 month ago - Stars: 10,446 - Forks: 822

scikit-activeml/scikit-activeml
scikit-activeml: Python library for active learning on top of scikit-learn
Language: Python - Size: 61.9 MB - Last synced at: 9 days ago - Pushed at: 12 days ago - Stars: 161 - Forks: 19

SupeRuier/awesome-active-learning
Everything you need about Active Learning (AL).
Size: 2 MB - Last synced at: 9 days ago - Pushed at: 11 months ago - Stars: 876 - Forks: 79

microsoft/aerial_wildlife_detection
Tools for detecting wildlife in aerial images using active learning
Language: Python - Size: 33.5 MB - Last synced at: 6 days ago - Pushed at: 9 months ago - Stars: 234 - Forks: 56

MSDLLCpapers/obsidian
Algorithmic process optimization and AI experiment design
Language: Python - Size: 13.3 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 31 - Forks: 4

basnijholt/adaptive-scheduler
Run many functions (adaptively) on many cores (>10k-100k) using mpi4py.futures, ipyparallel, loky, or dask-mpi. :tada:
Language: Python - Size: 935 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 30 - Forks: 11

deepmodeling/dpgen
The deep potential generator to generate a deep-learning based model of interatomic potential energy and force field
Language: Python - Size: 8.17 MB - Last synced at: 10 days ago - Pushed at: 13 days ago - Stars: 335 - Forks: 178

lamalab-org/pyepal
Multiobjective active learning with tunable accuracy/efficiency tradeoff and clear stopping criterion.
Language: Python - Size: 10.5 MB - Last synced at: 9 days ago - Pushed at: about 1 month ago - Stars: 40 - Forks: 6

baal-org/baal
Bayesian active learning library for research and industrial usecases.
Language: Python - Size: 44.8 MB - Last synced at: about 18 hours ago - Pushed at: 10 months ago - Stars: 895 - Forks: 87

grant-m-s/AstronomicAL
An interactive dashboard for visualisation, integration and classification of data using Active Learning.
Language: Python - Size: 60 MB - Last synced at: 7 days ago - Pushed at: 4 months ago - Stars: 65 - Forks: 11

Weizhe-Chen/PyPolo
A Python library for Robotic Information Gathering
Language: Python - Size: 34.3 MB - Last synced at: 5 days ago - Pushed at: over 1 year ago - Stars: 43 - Forks: 5

Renumics/awesome-open-data-centric-ai
Curated list of open source tooling for data-centric AI on unstructured data.
Size: 572 KB - Last synced at: 9 days ago - Pushed at: over 1 year ago - Stars: 716 - Forks: 35

ArsamAryandoust/DataSelectionMaps 📦
Enhanced spatio-temporal electric load forecasts with less data using active deep learning
Language: Jupyter Notebook - Size: 875 MB - Last synced at: 8 days ago - Pushed at: about 2 years ago - Stars: 12 - Forks: 4

webis-de/small-text
Active Learning for Text Classification in Python
Language: Python - Size: 3.03 MB - Last synced at: 8 days ago - Pushed at: 15 days ago - Stars: 611 - Forks: 69

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.
Language: Python - Size: 1.21 MB - Last synced at: 10 days ago - Pushed at: over 2 years ago - Stars: 879 - Forks: 115

kmalialis/siameseduo
SiameseDuo++ (Neurcomputing 2025)
Size: 1.95 KB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 0 - Forks: 0

explosion/prodigy-recipes
🍳 Recipes for the Prodigy, our fully scriptable annotation tool
Language: Jupyter Notebook - Size: 15.3 MB - Last synced at: 18 days ago - Pushed at: 9 months ago - Stars: 492 - Forks: 117

microsoft/protein-uq
Benchmarking uncertainty quantification methods on proteins.
Language: Jupyter Notebook - Size: 131 MB - Last synced at: 1 day ago - Pushed at: 3 months ago - Stars: 20 - Forks: 4

microsoft/MLOpsTemplate
Providing tools and templates to facilitate modern MLOps practices
Language: Jupyter Notebook - Size: 32.8 MB - Last synced at: 1 day ago - Pushed at: 8 months ago - Stars: 83 - Forks: 265

aim-uofa/DiverGen
DiverGen (CVPR 2024) & BSGAL (ICML 2024)
Language: Python - Size: 7.14 MB - Last synced at: 6 days ago - Pushed at: 25 days ago - Stars: 45 - Forks: 2

baifanxxx/awesome-active-learning
A curated list of awesome Active Learning
Size: 198 KB - Last synced at: 9 days ago - Pushed at: 6 months ago - Stars: 763 - Forks: 70

decile-team/distil
DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.
Language: Jupyter Notebook - Size: 22.5 MB - Last synced at: 17 days ago - Pushed at: about 2 years ago - Stars: 149 - Forks: 26

stsievert/salmon
A tool to collect triplet queries
Language: Python - Size: 119 MB - Last synced at: 2 days ago - Pushed at: 11 months ago - Stars: 8 - Forks: 2

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.
Language: Python - Size: 3.54 MB - Last synced at: 11 days ago - Pushed at: 4 months ago - Stars: 1,433 - Forks: 71

scbirlab/duvida
🧐 Calculating exact and approximate confidence and information metrics for deep learning on general purpose and chemistry tasks.
Language: Python - Size: 196 KB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

ChenhongyiYang/PPAL
[CVPR 2024] Plug and Play Active Learning for Object Detection
Language: Python - Size: 2.62 MB - Last synced at: 9 days ago - Pushed at: 12 months ago - Stars: 97 - Forks: 13

yongjin-shin/awesome-active-learning
Awesome Active Learning Paper List
Size: 32.2 KB - Last synced at: 10 days ago - Pushed at: 12 months ago - Stars: 141 - Forks: 18

sgbaird/honegumi
Honegumi (骨組み) is an interactive "skeleton code" generator for API tutorials focusing on optimization packages.
Language: Jupyter Notebook - Size: 53.9 MB - Last synced at: 15 days ago - Pushed at: 27 days ago - Stars: 48 - Forks: 7

aamini/chemprop
Fast and scalable uncertainty quantification for neural molecular property prediction, accelerated optimization, and guided virtual screening.
Language: Python - Size: 279 MB - Last synced at: 10 days ago - Pushed at: over 3 years ago - Stars: 121 - Forks: 15

matsuo-shinnosuke/ISOAL
Instance-wise Supervision-level Optimization in Active Learning in CVPR2025
Language: Python - Size: 549 KB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 2 - Forks: 0

stefanoteso/awesome-explanatory-supervision
List of relevant resources for machine learning from explanatory supervision
Language: TeX - Size: 207 KB - Last synced at: 4 days ago - Pushed at: 3 months ago - Stars: 157 - Forks: 16

Mojusko/experiment-design-mdp
Python library for adaptive experiment design with state-of-art ML tools
Language: Python - Size: 14.7 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 9 - Forks: 0

Bgolearn/BgoFace
A Bayesian global optimization package for material design | Adaptive Learning | Active Learning | 【BgoFace软件分享】BiliBili link
Language: Python - Size: 5.01 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 12 - Forks: 0

Cnerd-Mahadi/litol_app
An implementation of a web app based on a thesis on active learning methods catering the student demography. Implements features like Summarization, Cornell Note Taking, Mind Mapping and Feynman Technique. Used by more than 60+ users.
Language: TypeScript - Size: 11.9 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 0 - Forks: 0

benedekrozemberczki/SEAL-CI
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
Language: Python - Size: 5.08 MB - Last synced at: 25 days ago - Pushed at: over 2 years ago - Stars: 211 - Forks: 43

novonordisk-research/BEE-BO
Batched Energy-Entropy acquisition for Bayesian Optimization (NeurIPS 2024)
Language: Python - Size: 6.1 MB - Last synced at: 17 days ago - Pushed at: 4 months ago - Stars: 8 - Forks: 1

FrederikBornemann/SyReAL
Symbolic Regression and Active Learning
Language: Jupyter Notebook - Size: 30.9 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

AaltoML/BayesVLM
Code for Post-hoc Probabilistic Vision-Language Models
Language: Python - Size: 70.5 MB - Last synced at: 9 days ago - Pushed at: about 2 months ago - Stars: 5 - Forks: 1

walzimmer/3d-bat
3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling
Language: TypeScript - Size: 1.29 GB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 691 - Forks: 151

gscnogueira/Hardness-Sampling
This repository contains the code and data used for the experiments described in the paper "Hardness Sampling: Exploring Instance Hardness in Pool-based Active Learning", subimitted to the Knowledge-Based Systems journal.
Language: Jupyter Notebook - Size: 288 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

PrateekMunjal/TorchAL
Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.
Language: Jupyter Notebook - Size: 30.1 MB - Last synced at: 7 days ago - Pushed at: over 1 year ago - Stars: 67 - Forks: 7

Wang-ML-Lab/multi-domain-active-learning
[AAAI 2024] Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees
Language: Python - Size: 163 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 4 - Forks: 0

Bin-Cao/Bgolearn 📦
[Materials & Design 2024] A Bayesian global optimization package for material design | Adaptive Learning | Active Learning
Language: Jupyter Notebook - Size: 420 MB - Last synced at: 10 days ago - Pushed at: about 1 month ago - Stars: 91 - Forks: 15

xlang-ai/icl-selective-annotation
[ICLR 2023] Code for our paper "Selective Annotation Makes Language Models Better Few-Shot Learners"
Language: Python - Size: 32.5 MB - Last synced at: 13 days ago - Pushed at: almost 2 years ago - Stars: 109 - Forks: 16

ZhangYuanhan-AI/Bamboo
Bamboo: 4 times larger than ImageNet; 2 time larger than Object365; Built by active learning.
Language: Python - Size: 5.41 MB - Last synced at: 21 days ago - Pushed at: about 1 year ago - Stars: 175 - Forks: 7

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.
Language: Python - Size: 125 MB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 855 - Forks: 184

mvcisback/lstar
Python implementation of lstar automata learning algorithm.
Language: Python - Size: 93.8 KB - Last synced at: 10 days ago - Pushed at: about 1 year ago - Stars: 9 - Forks: 1

samueldobbie/markup
A web-based document annotation tool, powered by GPT-4 :rocket:
Language: TypeScript - Size: 79.7 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 260 - Forks: 32

joaopfonseca/ml-research
A Python library with utilities for Machine Learning research and algorithm implementations
Language: Python - Size: 409 MB - Last synced at: 14 days ago - Pushed at: about 1 month ago - Stars: 7 - Forks: 2

ziatdinovmax/gpax
Gaussian Processes for Experimental Sciences
Language: Python - Size: 53.3 MB - Last synced at: 14 days ago - Pushed at: 6 months ago - Stars: 221 - Forks: 29

BIT-DA/EADA
[AAAI 2022] Official Implementation of Active Learning for Domain Adaptation: An Energy-based Approach https://arxiv.org/abs/2112.01406
Language: Python - Size: 1.01 MB - Last synced at: 16 days ago - Pushed at: over 1 year ago - Stars: 84 - Forks: 12

ryukinix/egsis
EGSIS: Exploratory Graph-based Semi-supervised Image Segmentation
Language: Python - Size: 30.9 MB - Last synced at: 10 days ago - Pushed at: about 2 months ago - Stars: 9 - Forks: 1

explosion/jupyterlab-prodigy
🧬 A JupyterLab extension for annotating data with Prodigy
Language: TypeScript - Size: 251 KB - Last synced at: about 4 hours ago - Pushed at: almost 2 years ago - Stars: 189 - Forks: 23

yasminenahal/hitl-al-gomg
Active learning workflow to train and fine-tune molecular property predictors with chemist feedback for goal-oriented molecule generation.
Language: Jupyter Notebook - Size: 1.46 GB - Last synced at: 4 days ago - Pushed at: 5 months ago - Stars: 14 - Forks: 1

csiro-funml/bacon
Bayesian adaptive calibration and optimal design (BACON) paper accepted at NeurIPS 2024
Language: Jupyter Notebook - Size: 4.58 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

code-kern-ai/refinery-python-sdk
Official Python SDK for Kern AI refinery.
Language: Python - Size: 171 KB - Last synced at: 12 days ago - Pushed at: 5 months ago - Stars: 19 - Forks: 3

Shuai-Xie/ASM_web
ASM web inferface
Language: JavaScript - Size: 819 KB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

Shuai-Xie/ASM_core
Active Sample Mining on VOC detection dataset
Language: Python - Size: 188 KB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0

divelab/ATTA
Active Test-Time Adaptation: Theoretical Analyses and An Algorithm [ICLR 2024]
Language: Python - Size: 78.8 MB - Last synced at: 8 days ago - Pushed at: 6 months ago - Stars: 20 - Forks: 3

dholzmueller/bmdal_reg
Deep Batch Active Learning for Regression
Language: Python - Size: 724 KB - Last synced at: 10 days ago - Pushed at: 7 months ago - Stars: 66 - Forks: 5

asreview/asreview-insights
Tools such as plots and metrics to analyze (simulated) reviews for ASReview LAB
Language: Python - Size: 12.1 MB - Last synced at: 2 days ago - Pushed at: 2 months ago - Stars: 36 - Forks: 13

Lambard-ML-Team/MADGUI
User-friendly Graphical User Interface (GUI) developed at the National Institute for Materials Science (NIMS) for performing statistical data analysis, machine learning (ML) modelisation, and composition/process optimisation through active learning assisted by Bayesian optimisation
Language: Python - Size: 22.3 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 12 - Forks: 3

BIT-DA/Annotator
[NeurIPS 2023] Official Implementation of A Generic Active Learning Baseline for LiDAR Semantic Segmentation
Language: Python - Size: 23.6 MB - Last synced at: about 2 months ago - Pushed at: 12 months ago - Stars: 30 - Forks: 0

Lando-L/boax
Boax is a Bayesian Optimization library for JAX.
Language: Python - Size: 11.3 MB - Last synced at: 8 days ago - Pushed at: 2 months ago - Stars: 5 - Forks: 1

Y-T-G/hua_rs
Hierarchical Uncertainty Aggregation (Park et al., 2022) in Rust.
Language: Rust - Size: 15.6 KB - Last synced at: 6 days ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

joisino/seafaring
Code for "Active Learning from the Web" (WWW 2023)
Language: Python - Size: 622 KB - Last synced at: 8 days ago - Pushed at: about 2 years ago - Stars: 116 - Forks: 23

Zhu-BY/ALGE
Repository of the paper "Precise influence evaluation in complex networks" by B. Zhu, D. Li and Q. Sun
Language: Python - Size: 4.53 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 3

oldhero5/talent_track
TalentTrack is an open‐source recruitment analytics web application built with Flask and Python. It leverages advanced machine learning techniques—such as Product Quantization (PQ) for candidate ranking and SHAP for model interpretability—to help HR teams and recruitment professionals identify high-quality candidates efficiently.
Language: Jupyter Notebook - Size: 2.22 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

adidottxt/spotify-music-discovery
create your own spotify recommendation algorithm 🎧
Language: Python - Size: 6.26 MB - Last synced at: 13 days ago - Pushed at: over 4 years ago - Stars: 22 - Forks: 2

Henrium/ET-AL
Entropy-targeted active learning for bias mitigation in materials data.
Language: Python - Size: 19.4 MB - Last synced at: 10 days ago - Pushed at: 3 months ago - Stars: 2 - Forks: 1

ValentinMargraf/ActiveLearningPipelines
Specificy, execute and monitor performances of active learning pipelines.
Language: Python - Size: 1.89 MB - Last synced at: 7 days ago - Pushed at: 7 months ago - Stars: 22 - Forks: 1

Shuai-Xie/DEAL
DEAL : Difficulty-awarE Active Learning for Semantic Segmentaion
Language: Python - Size: 3.86 MB - Last synced at: 16 days ago - Pushed at: over 3 years ago - Stars: 20 - Forks: 1

Hellisotherpeople/Active-Explainable-Classification
A set of tools for leveraging pre-trained embeddings, active learning and model explainability for effecient document classification
Language: HTML - Size: 2.78 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 29 - Forks: 1

vipgugr/BAL
Bayesian Active Learning for Remote Sensing
Language: MATLAB - Size: 130 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 1

ammirsm/automatic-pancake
Active learning agent-based-simulation for systematic reviews and other types of technology assisted review (TAR) which will include PDF documents and other meta-datas in itself and it's based on both fulltext-screening decisions and title-screening decisions.
Language: Python - Size: 1.82 MB - Last synced at: 9 days ago - Pushed at: about 1 year ago - Stars: 8 - Forks: 1

timm/ezr
Explanation system for semi-supervised multi-objective optimization
Language: Lua - Size: 118 MB - Last synced at: 12 days ago - Pushed at: 19 days ago - Stars: 2 - Forks: 52
