An open API service providing repository metadata for many open source software ecosystems.

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

Related Keywords
active-learning 523 machine-learning 163 deep-learning 79 python 55 pytorch 52 nlp 38 computer-vision 31 semi-supervised-learning 23 natural-language-processing 21 gaussian-processes 19 object-detection 18 bayesian-optimization 18 data-science 17 classification 16 reinforcement-learning 16 text-classification 15 annotation 14 artificial-intelligence 12 domain-adaptation 12 tensorflow 12 online-learning 11 uncertainty-quantification 11 annotation-tool 11 machine-learning-algorithms 10 self-supervised-learning 10 python3 9 labeling-tool 9 segmentation 9 neural-network 9 transfer-learning 8 named-entity-recognition 8 scikit-learn 8 human-in-the-loop 8 semantic-segmentation 8 keras 8 annotations 8 research 8 active-learning-in-nlp 8 image-classification 8 bert 7 experimental-design 7 transformers 7 medical-imaging 7 ai 7 visualization 6 data-labeling 6 optimization 6 anomaly-detection 6 image-segmentation 6 data-annotation 6 regression 6 weak-supervision 6 supervised-learning 6 pytorch-lightning 6 unsupervised-learning 6 adaptive-learning 6 text-annotation 6 activelearning 6 weakly-supervised-learning 6 clustering 6 logistic-regression 5 neural-networks 5 labeling 5 convolutional-neural-networks 5 ner 5 education 5 data-visualization 5 uncertainty 5 medical-image-segmentation 5 deep-active-learning 5 awesome-list 5 medical-image-analysis 5 active-domain-adaptation 5 nlp-machine-learning 5 point-cloud 5 mlops 5 data-centric-ai 5 data-cleaning 5 dataset 5 concept-drift 5 transformer 5 asreview 5 systematic-reviews 5 spacy 5 active-learning-module 4 timed-automata 4 pytorch-implementation 4 cnn 4 sampling-methods 4 java 4 matlab 4 sklearn 4 uncertainty-sampling 4 instance-segmentation 4 image-retrieval 4 data-augmentation 4 random-forest-classifier 4 design-of-experiments 4 class-imbalance 4 llm 4