Deep active-learning & semi-supervised image classification on CIFAR-10 (ResNet + TypiClust selection, PyTorch)
-
Updated
Aug 3, 2026 - Jupyter Notebook
Deep active-learning & semi-supervised image classification on CIFAR-10 (ResNet + TypiClust selection, PyTorch)
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.
Code, processed annotations, and research systems for MUST-Rank active preference refinement.
A curated list of awesome active learning related topics
A Simulação de Grandezas Geométricas tem o objetivo que o aluno possa explorar as formas geométricas e observar as relações entre suas propriedades e conceitos matemáticos
A premium media & RSS aggregator with dynamic serendipity curation, pgvector semantic discovery, auto YouTube URL/handle resolver, telemetry active-learning, and React animations.
ALPS (Active Learning for Prior-guided Sequence Design) is a closed-loop framework for discovering near-infrared-emitting DNA-stabilized silver nanoclusters. It combines committee learning, sequence priors, and experimental feedback to guide sequence design under limited experimental budgets.
Invoice field extraction by global assignment over PDF text-layer spans, with a human-review retraining loop
Explain ambiguous network link faults and choose the next path probe. Bayesian diagnosis, learned baselines, and reproducible stress tests.
Making text analysis and topic ontology creation easier
Preference Elicitation Through Active Learning and Meta-Learning
Active Learning for Patch-Based Digital Pathology Using Convolutional Neural Networks to Reduce Annotation Costs
Implementation of the paper : http://www.aclweb.org/anthology/N15-1047
BonsaiFog - Fog Application
NSE and random sampling strategies comparison for active learning
Active Learning for Transformer with focus on Sequence Tagging tasks
🍀 Official pytorch implementation of "D2ADA: Dynamic Density-aware Active Domain Adaptation for Semantic Segmentation. Wu et al. ECCV 2022."
Practical CAtalysis Toolkit
To associate your repository with the active-learning topic, visit your repo's landing page and select "manage topics."