A modular active learning framework for Python
☆2,343Feb 26, 2024Updated 2 years ago
Alternatives and similar repositories for modAL
Users that are interested in modAL are comparing it to the libraries listed below
Sorting:
- ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze t…☆899Jul 23, 2025Updated 7 months ago
- ☆1,163Dec 5, 2022Updated 3 years ago
- Pool-based active learning in Python☆789Feb 12, 2026Updated last month
- Deep Active Learning☆847Oct 3, 2022Updated 3 years ago
- PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book☆985Dec 8, 2022Updated 3 years ago
- Bayesian active learning library for research and industrial usecases.☆923Dec 3, 2025Updated 3 months ago
- Active Learning for Text Classification in Python☆637Mar 8, 2026Updated last week
- A curated list of awesome Active Learning☆796Oct 20, 2024Updated last year
- Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For…☆202Sep 26, 2019Updated 6 years ago
- Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.☆247Jun 5, 2024Updated last year
- Everything you need about Active Learning (AL).☆974Updated this week
- Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach☆279Oct 23, 2018Updated 7 years ago
- A system for quickly generating training data with weak supervision☆5,940May 2, 2024Updated last year
- Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data …☆11,368Jan 13, 2026Updated 2 months ago
- Variational Adversarial Active Learning (ICCV 2019)☆232Jul 6, 2023Updated 2 years ago
- Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]☆222Aug 4, 2020Updated 5 years ago
- A scikit-learn compatible neural network library that wraps PyTorch☆6,150Feb 25, 2026Updated 3 weeks ago
- skweak: A software toolkit for weak supervision applied to NLP tasks☆926Sep 2, 2024Updated last year
- Awesome Active Learning Paper List☆148Apr 23, 2024Updated last year
- Fit interpretable models. Explain blackbox machine learning.☆6,816Updated this week
- 🌊 Online machine learning in Python☆5,752Mar 9, 2026Updated last week
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,775Feb 10, 2026Updated last month
- 主动学习（Active Learning）框架，实现了多个主动学习策略，包括：熵（Entropy）、最大梯度改变（ECG）等。☆86Aug 9, 2018Updated 7 years ago
- A game theoretic approach to explain the output of any machine learning model.☆25,131Mar 12, 2026Updated last week
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆7,091Feb 2, 2026Updated last month
- An implementation of the state-of-the-art Deep Active Learning algorithms☆108Sep 19, 2023Updated 2 years ago
- An active learning framework, using interchangeable algorithms and sample selection functions, including experimental results on a toy da…☆56May 3, 2019Updated 6 years ago
- A very simple framework for state-of-the-art Natural Language Processing (NLP)☆14,354Oct 27, 2025Updated 4 months ago
- A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.☆10,047Sep 11, 2025Updated 6 months ago
- Algorithms for outlier, adversarial and drift detection☆2,502Dec 11, 2025Updated 3 months ago
- Distributed Asynchronous Hyperparameter Optimization in Python☆7,613Updated this week
- Uniform Manifold Approximation and Projection☆8,119Mar 10, 2026Updated last week
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,395Feb 19, 2025Updated last year
- Lime: Explaining the predictions of any machine learning classifier☆12,105Jul 25, 2024Updated last year
- scikit-activeml: A Comprehensive and User-friendly Active Learning Library☆185Updated this week
- Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.☆30,926Mar 10, 2026Updated last week
- An implementation of the BADGE batch active learning algorithm.☆212Jun 5, 2024Updated last year
- DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.☆156Feb 5, 2023Updated 3 years ago
- Algorithms for explaining machine learning models☆2,617Oct 17, 2025Updated 5 months ago