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GitHub topics: active-learning

matsuo-shinnosuke/ISOAL

Instance-wise Supervision-level Optimization in Active Learning in CVPR2025

Language: Python - Size: 549 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

zeyademam/active_learning

Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training with torch's DDP.

Language: Python - Size: 790 KB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 53 - Forks: 2

stefanoteso/awesome-explanatory-supervision

List of relevant resources for machine learning from explanatory supervision

Language: TeX - Size: 207 KB - Last synced at: 6 days ago - Pushed at: 5 months ago - Stars: 157 - Forks: 16

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: 3 months ago - Pushed at: 3 months 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: about 2 months ago - Pushed at: over 2 years ago - Stars: 211 - Forks: 43

FrederikBornemann/SyReAL

Symbolic Regression and Active Learning

Language: Jupyter Notebook - Size: 32.9 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

AaltoML/BayesVLM

Code for Post-hoc Probabilistic Vision-Language Models

Language: Python - Size: 70.5 MB - Last synced at: 2 months ago - Pushed at: 4 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: 3 months ago - Pushed at: over 1 year ago - Stars: 691 - Forks: 151

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: 9 days ago - Pushed at: almost 2 years 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: 3 months ago - Pushed at: 3 months ago - Stars: 4 - Forks: 0

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: 22 days ago - Pushed at: almost 2 years ago - Stars: 109 - Forks: 16

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: 3 months ago - Pushed at: about 1 year ago - Stars: 855 - Forks: 184

mvcisback/lstar

Python implementation of lstar automata learning algorithm.

Language: Python - Size: 93.8 KB - Last synced at: 3 months ago - Pushed at: over 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: 3 months 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: 30 days ago - Pushed at: 4 months ago - Stars: 7 - Forks: 2

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: 3 months 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: 2 days ago - Pushed at: 4 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: 11 days ago - Pushed at: about 2 years ago - Stars: 189 - Forks: 23

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: 4 months ago - Pushed at: 4 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: 9 days ago - Pushed at: 7 months ago - Stars: 19 - Forks: 3

Shuai-Xie/ASM_web

ASM web inferface

Language: JavaScript - Size: 819 KB - Last synced at: 4 months ago - Pushed at: about 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: 4 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: 2 days ago - Pushed at: 8 months ago - Stars: 20 - 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: 4 months ago - Pushed at: about 1 year ago - Stars: 30 - Forks: 0

Y-T-G/hua_rs

Hierarchical Uncertainty Aggregation (Park et al., 2022) in Rust.

Language: Rust - Size: 15.6 KB - Last synced at: 19 days ago - Pushed at: 4 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: 2 months ago - Pushed at: over 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: 5 months ago - Pushed at: 5 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: 3 months ago - Pushed at: 5 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: 3 months ago - Pushed at: almost 5 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: 3 months ago - Pushed at: 5 months ago - Stars: 2 - Forks: 1

Shuai-Xie/DEAL

DEAL : Difficulty-awarE Active Learning for Semantic Segmentaion

Language: Python - Size: 3.86 MB - Last synced at: about 2 months 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: 5 months ago - Pushed at: 5 months ago - Stars: 29 - Forks: 1

vipgugr/BAL

Bayesian Active Learning for Remote Sensing

Language: MATLAB - Size: 130 KB - Last synced at: 5 months ago - Pushed at: 5 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: 2 months ago - Pushed at: about 1 year ago - Stars: 8 - Forks: 1

sherwinshen/pac_learn_RTAs

🔧 A prototype tool on learning real-time automata based on pac.

Language: Python - Size: 202 KB - Last synced at: 2 months ago - Pushed at: about 3 years ago - Stars: 7 - Forks: 0

amzn/differential-privacy-bayesian-optimization 📦

This repo contains the underlying code for all the experiments from the paper: "Automatic Discovery of Privacy-Utility Pareto Fronts"

Language: Python - Size: 7.37 MB - Last synced at: 5 days ago - Pushed at: over 2 years ago - Stars: 27 - Forks: 15

zhmiao/Iterative-Human-and-Automated-Identification-of-Wildlife-Images

Pytorch implementation for "Iterative Human and Automated Identification of Wildlife Images" (Nature -Machine Intelligence, 2021)

Language: Python - Size: 3.86 MB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 16 - Forks: 3

Rensvandeschoot/software-overview-machine-learning-for-screening-text

The repository aims to create an overview and comparison of software used for systematically screening large amounts of textual data using machine learning.

Size: 55.7 KB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 13 - Forks: 6

whq-xxh/SFADA-UWF-SLO

(MICCAI 2024 Early Acc)Advancing UWF-SLO Vessel Segmentation with Source-Free Active Domain Adaptation and a Novel Multi-Center Dataset

Language: Python - Size: 52.7 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 12 - Forks: 0

sherwinshen/learning_OTA_by_testing

🔨 A prototype tool on learning DOTAs by testing.

Language: Python - Size: 3.3 MB - Last synced at: 4 months ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

Jacopo00811/Active_learning

Project for the course 02456 Introduction to Deep Learning Fall 24 DTU

Language: Jupyter Notebook - Size: 17.3 MB - Last synced at: 5 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

HumanSignal/awesome-active-learning 📦

A curated list of awesome active learning related topics

Size: 4.88 KB - Last synced at: 4 days ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 0

johnmartinsson/adaptive-change-point-detection

The official implementation of A-CPD from the paper "From Weak to Strong Sound Event Labels using Adaptive Change-Point Detection and Active Learning".

Language: Python - Size: 2.11 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 5 - Forks: 0

whq-xxh/SFADA-GTV-Seg

(TMI-2024) Source-Free Active Domain Adaptation (SFADA) for GTV Segmentation across Multiple Hospitals

Language: Python - Size: 3.61 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 30 - Forks: 3

whq-xxh/ADA4MIA

Awesome Active Domain Adaptation for Medical Image Analysis

Size: 43 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 68 - Forks: 6

Luoyadan/CRB-active-3Ddet

The official PyTorch implementation of "Exploring Active 3D Object Detection from a Generalization Perspective" (ICLR Spotlight 2023).

Language: Python - Size: 7.91 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 59 - Forks: 8

GeorgeBatch/active-data-enrichment

[MICCAI'2022] CaPTion workshop: Active Data Enrichment by Learning What to Annotate in Digital Pathology

Language: Jupyter Notebook - Size: 18.6 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 1

wri-dssg-omdena/policy-data-analyzer

Building a model to recognize incentives for landscape restoration in environmental policies from Latin America, the US and India. Bringing NLP to the world of policy analysis through an extensible framework that includes scraping, preprocessing, active learning and text analysis pipelines.

Language: Jupyter Notebook - Size: 226 MB - Last synced at: 3 months ago - Pushed at: about 3 years ago - Stars: 35 - Forks: 8

cloudera/CML_AMP_Active_Learning

An interactive, visual workflow of active learning using the MNIST dataset.

Language: Python - Size: 24.2 MB - Last synced at: 8 days ago - Pushed at: 7 months ago - Stars: 1 - Forks: 6

parallelUQ/PUQ

Python package for generating experimental designs tailored for uncertainty quantification and featuring parallel implementations

Language: Python - Size: 1.83 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 1

gitmehrdad/FACE

Urban Sound Annotation and Classification

Language: Jupyter Notebook - Size: 55.7 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 9 - Forks: 4

sherwinshen/TAs-learning-site

🏆 时间自动机模型学习工具站点(Timed Automata)

Language: Python - Size: 981 KB - Last synced at: 2 months ago - Pushed at: about 3 years ago - Stars: 6 - Forks: 0

HuaizhengZhang/Active-Learning-as-a-Service

A scalable & efficient active learning/data selection system for everyone.

Language: Python - Size: 1.49 MB - Last synced at: about 1 month ago - Pushed at: 12 months ago - Stars: 214 - Forks: 15

kei5uke/botnet-active-learning

This repository contains code used for experiments in my BSc final thesis, “Multi-class Classification of Botnet Detection by Active Learning.”

Language: Jupyter Notebook - Size: 15.8 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

yuantn/MI-AOD

Code for Multiple Instance Active Learning for Object Detection, CVPR 2021

Language: Python - Size: 16.5 MB - Last synced at: 7 months ago - Pushed at: about 2 years ago - Stars: 334 - Forks: 43

HaGiangHT/MasterThesis

Master Thesis

Language: Python - Size: 0 Bytes - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

paolomandica/HALO

Official PyTorch implementation of the ICML 2024 paper "Hyperbolic Active Learning for Semantic Segmentation under Domain Shift"

Language: Python - Size: 25.6 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 12 - Forks: 3

HealthML/active-segmentation

ActiveSegmentation: A Simulation Framework for Benchmarking Active Learning Strategies for 3D Medical Image Segmentation

Language: Python - Size: 3 MB - Last synced at: 6 months ago - Pushed at: almost 3 years ago - Stars: 17 - Forks: 1

chschroeder/self-training-for-sample-efficient-active-learning

Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language Models (EMNLP 2024)

Language: Python - Size: 0 Bytes - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

harit7/TBAL-Colander-NeurIPS-24

Pearls from Pebbles: Improved Confidence Functions for Auto-labeling (NeurIPS 2024)

Language: Jupyter Notebook - Size: 7.41 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 2 - Forks: 0

hical/HiCAL

HiCAL is a system for efficient high-recall retrieval with an adaptable assessing interface.

Language: Python - Size: 5.81 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 37 - Forks: 11

pietrolesci/energizer

An active learning library for Pytorch based on Lightning-Fabric.

Language: Python - Size: 1.95 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 79 - Forks: 12

arnaugomez/clubmemo.web

A web app for efficient memorization based on science-backed study techniques

Language: TypeScript - Size: 2.25 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 3 - Forks: 0

cesmix-mit/PotentialLearning.jl

PotentialLearning.jl: Optimize your atomistic data and interatomic potential models in your molecular dynamic workflows.

Language: Julia - Size: 116 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 21 - Forks: 10

mashijie1028/ActiveGCD

Official code for CVPR 2024 paper "Active Generalized Category Discovery"

Language: Python - Size: 1.01 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 27 - Forks: 1

ulysses-camara/ulysses-segmenter

Pretrained segmenter models for Portuguese legislative text.

Language: Python - Size: 3.4 MB - Last synced at: 7 months ago - Pushed at: 9 months ago - Stars: 11 - Forks: 4

Dumbris/trunklucator

Python module for data scientists for quick creating annotation projects.

Language: Python - Size: 27.4 MB - Last synced at: 2 days ago - Pushed at: almost 4 years ago - Stars: 83 - Forks: 5

kstrassheim/active-learning-with-deep-learning-for-nlp

We present our concept of a new type of Active-Learning for Deep Learning with NLP text classification and experimentally prove its performance against Random Sampling as well as its runtime performance on the Security Threat dataset from CySecAlert. These new Active Learning algorithms are based on Sentence-BERT and BERTopic clustering algorithms with allow us to generate fixed length tokens for whole sentences to make them comparable to each other. Further the Tokens are Clustered using K-Means or HDBScan to get diverse clusters to pick the samples out of them.

Language: Jupyter Notebook - Size: 7.51 MB - Last synced at: 3 months ago - Pushed at: about 3 years ago - Stars: 6 - Forks: 0

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:

Language: Python - Size: 6.54 MB - Last synced at: 3 months ago - Pushed at: over 5 years ago - Stars: 202 - Forks: 55

yapat-app/yapat

PAM annotation tool that uses ML to retrieve high-priority samples

Size: 45.4 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 1

liuzy0708/Awesome_OL

A General Toolkit for Online Learning Approaches

Language: Python - Size: 253 MB - Last synced at: 9 months ago - Pushed at: 10 months ago - Stars: 14 - Forks: 0

robotic-vision-lab/Semi-Supervised-Variational-Adversarial-Active-Learning

Semi-supervised variational adversarial active learning via learning to rank and agreement-based pseudo labeling.

Language: Python - Size: 184 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

shmouses/AI-enabled-HTE-Li-Production

AI-enabled lithium carbonate production with integrated CO2 capture, boosting and optimizing sustainable Li-ion battery production.

Language: Jupyter Notebook - Size: 26.7 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

joaopfonseca/publications

Repository containing most of the source code (LaTeX, Python, etc.) of all experiments and papers I have been involved with.

Language: PostScript - Size: 128 MB - Last synced at: 4 months ago - Pushed at: almost 2 years ago - Stars: 5 - Forks: 0

ColinTr/Neural_Network_Session_Project

M. Sc. project: Comparison of 3 criterion of selection in active learning

Language: Python - Size: 2.16 MB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

stk-kriging/qsi-paper-experiments

Quantile set inversion [arXiv:2211.01008] — Numerical experiments

Language: MATLAB - Size: 64.2 MB - Last synced at: 7 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 1

dscolby/Whiteboard

A virtual whiteboard so I don't forget the ideas that come to me

Size: 31.3 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

joshuacortez/data-matching-workflow

A workflow template for deduplication and record linkage using the Dedupe library

Language: Jupyter Notebook - Size: 3.47 MB - Last synced at: 11 months ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

geraltofrivia/fewshot-textclassification

Playing with SetFit approach for few-shot transfer for text classification

Language: Python - Size: 72.3 KB - Last synced at: 8 days ago - Pushed at: about 2 years ago - Stars: 5 - Forks: 0

AndreisPurim/DialogAnnotationTool

NPL Dialog Annotation Tool for entities and intentions

Language: JavaScript - Size: 6.41 MB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

zhangxulu1996/GAL4Personalization

Official implementation of generative active learning for image synthesis personalization (ACM MM 2024)

Language: Python - Size: 26.4 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 5 - Forks: 0

eurobios-mews-labs/active-bagging-learning

This library proposes a plug-in approach to active learning utilizing bagging techniques. Bagging, or bootstrap aggregating, is an ensemble learning method designed to improve the stability and accuracy of machine learning algorithms.

Language: Python - Size: 3.08 MB - Last synced at: 23 days ago - Pushed at: 11 months ago - Stars: 0 - Forks: 1

chritoth/active-bayesian-causal-inference

Active Bayesian Causal Inference (Neurips'22)

Language: Python - Size: 44.9 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 45 - Forks: 5

huange888/yolov5_7.0_pyside6_active_learning

基于yolov5_7.0 pyside6 active_learning 开发的人工智能主动学习外周血细胞目标检测系统

Language: Python - Size: 179 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 6 - Forks: 1

sherwinshen/mut_learn_DOTAs

🔨 A prototype tool for learning DOTAs based on mutation testing.

Language: Python - Size: 342 KB - Last synced at: 4 months ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

taindp98/Active-Learning-Object-Detection

🚌 Active Learning for Object Detection [Published in IEEE BigData 2023 special session Machine Learning]

Size: 8.14 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

felix-e-h-p/ag-reasoning-l-star

Implementation of the L* (L Star) based Assume Guarantee Reasoning framework - dynamic DFA input as specification

Language: Python - Size: 153 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

mukherjee07/Active-Learning-for-multicomponent-adsorption-in-a-MOF

An Active learning algorithm for multi-component adsorption prediction in MOF

Language: Python - Size: 4.77 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 5 - Forks: 0

ybrenning/bachelor

Language: Python - Size: 43.8 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

tomviering/NuclearDiscrepancy

This repository contains the code to reproduce all of the results in our paper: Nuclear discrepancy for single-shot batch active learning, Tom J Viering, Jesse H Krijthe, Marco Loog, in Machine Learning 2019.

Language: MATLAB - Size: 151 KB - Last synced at: 4 months ago - Pushed at: almost 6 years ago - Stars: 3 - Forks: 0

Eng-Alaa/AL_SurveyPaper

This repository has the codes that were used in our published paper "A survey on Active learning: state-of-the-art, practical challenges and research directions"

Language: Jupyter Notebook - Size: 7.64 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 6 - Forks: 0

mohaimenz/deep_active_featl

Official Repository for "Deep Active Audio Feature Learning in Resource-Constrained Environments"

Language: Python - Size: 85.9 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 1

mrodobbe/gandalf-doe

Active learning tool for designing experiments

Language: Python - Size: 38.1 KB - Last synced at: 12 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

JMcardenas/CS4ML

This is a repository for CS4ML. It is a general framework for active learning in regression problems. It approximates a target function arising from general types of data, rather than pointwise samples.

Language: MATLAB - Size: 4.61 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

NitinPrasad5/Active-Learning_Graph-Convolution-Network

In this project, I implemented an active learning framework utilizing the GCN query technique. The objective was to train a ResNet18 model on CIFAR-10 with reduced data, achieving accuracy comparable to full dataset training.

Language: Jupyter Notebook - Size: 158 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

AntMorais/active-learning-proj

Language: Python - Size: 3.14 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0

kaist-dmlab/pcb

Official PyTorch Implementation for Active Prompt Learning in Vision Language Models

Language: Python - Size: 2.86 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 8 - Forks: 0

deramos/pinterest-image-recommender

Encoder-Decoder model for pinterest image recommender system using active learning. Built with PyTorch and Ray

Language: Jupyter Notebook - Size: 19.5 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

uci-cv-genelab-bps-mouse-template/mouse-bps-labeler

Use Active Learning to diversely sample the dataset and generate new labels to train a classifier to predict whether the microscopy image contains a linear arrangement of 53BP1 accumulation on chromatin surrounding DNA damage, or irradiation induced foci.

Language: Python - Size: 1.45 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

sdeepaknarayanan/activepm

Codes and results for ICML 2020 RealML Workshop Paper Active learning for Air Quality Station Deployment

Language: Jupyter Notebook - Size: 293 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1

Related Keywords
active-learning 542 machine-learning 169 deep-learning 81 python 58 pytorch 52 nlp 38 computer-vision 32 semi-supervised-learning 23 natural-language-processing 21 bayesian-optimization 19 gaussian-processes 19 object-detection 18 classification 17 data-science 17 reinforcement-learning 16 annotation 15 text-classification 15 tensorflow 13 artificial-intelligence 12 domain-adaptation 12 uncertainty-quantification 11 annotation-tool 11 machine-learning-algorithms 11 online-learning 11 segmentation 10 python3 10 self-supervised-learning 10 neural-network 9 human-in-the-loop 9 labeling-tool 9 image-classification 9 activelearning 8 scikit-learn 8 transfer-learning 8 keras 8 ai 8 named-entity-recognition 8 active-learning-in-nlp 8 research 8 annotations 8 semantic-segmentation 8 bert 8 regression 7 medical-imaging 7 experimental-design 7 dataset 7 optimization 7 transformers 7 unsupervised-learning 7 clustering 7 ner 6 visualization 6 data-annotation 6 pytorch-lightning 6 image-segmentation 6 anomaly-detection 6 weakly-supervised-learning 6 supervised-learning 6 weak-supervision 6 llm 6 data-labeling 6 mlops 6 adaptive-learning 6 education 6 text-annotation 6 spacy 5 nlp-machine-learning 5 active-domain-adaptation 5 medical-image-segmentation 5 medical-image-analysis 5 awesome-list 5 convolutional-neural-networks 5 data-visualization 5 data-cleaning 5 data-centric-ai 5 logistic-regression 5 neural-networks 5 uncertainty 5 concept-drift 5 cnn 5 point-cloud 5 transformer 5 deep-active-learning 5 drug-discovery 5 asreview 5 bayesian-inference 5 labeling 5 systematic-reviews 5 class-imbalance 4 instance-segmentation 4 cheminformatics 4 data-augmentation 4 image-retrieval 4 design-of-experiments 4 sampling-methods 4 matlab 4 chemistry 4 pytorch-implementation 4 modal 4 random-forest-classifier 4