Alternatives and similar repositories for active-learning

Users that are interested in active-learning are comparing it to the libraries listed below

• NUAA-AL / ALiPy
  ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze t…
  ☆887Updated 4 months ago
• rmunro / pytorch_active_learning
  PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book
  ☆978Updated 2 years ago
• ej0cl6 / deep-active-learning
  Deep Active Learning
  ☆841Updated 3 years ago
• modAL-python / modAL
  A modular active learning framework for Python
  ☆2,322Updated last year
• ntucllab / libact
  Pool-based active learning in Python
  ☆789Updated 7 months ago
• dsgissin / DiscriminativeActiveLearning
  Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For…
  ☆203Updated 6 years ago
• google-research / mixmatch
  ☆1,145Updated 2 years ago
• ozansener / active_learning_coreset
  Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach
  ☆276Updated 7 years ago
• baifanxxx / awesome-active-learning
  A curated list of awesome Active Learning
  ☆782Updated last year
• baal-org / baal
  Bayesian active learning library for research and industrial usecases.
  ☆912Updated last month
• google-research / uda
  Unsupervised Data Augmentation (UDA)
  ☆2,202Updated 4 years ago
• BlackHC / BatchBALD
  Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.
  ☆245Updated last year
• gpleiss / temperature_scaling
  A simple way to calibrate your neural network.
  ☆1,167Updated 4 months ago
• ksenia-konyushkova / LAL
  This project contains code for paper Ksenia Konyushkova, Raphael Sznitman, Pascal Fua 'Learning Active Learning from Data', NIPS 2017
  ☆88Updated 3 years ago
• SupeRuier / awesome-active-learning
  Everything you need about Active Learning (AL).
  ☆944Updated last year
• subeeshvasu / Awesome-Learning-with-Label-Noise
  A curated list of resources for Learning with Noisy Labels
  ☆2,719Updated 6 months ago
• sinhasam / vaal
  Variational Adversarial Active Learning (ICCV 2019)
  ☆231Updated 2 years ago
• JordanAsh / badge
  An implementation of the BADGE batch active learning algorithm.
  ☆209Updated last year
• google-research / meta-dataset
  A dataset of datasets for learning to learn from few examples
  ☆793Updated last year
• scikit-learn-contrib / metric-learn
  Metric learning algorithms in Python
  ☆1,428Updated last year
• yongjin-shin / awesome-active-learning
  Awesome Active Learning Paper List
  ☆143Updated last year
• facebookresearch / deepcluster
  Deep Clustering for Unsupervised Learning of Visual Features
  ☆1,738Updated 4 years ago
• google-research / fixmatch
  A simple method to perform semi-supervised learning with limited data.
  ☆1,189Updated last year
• yassouali / awesome-semi-supervised-learning
  😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
  ☆1,850Updated last year
• facebookresearch / odin
  A simple and effective method for detecting out-of-distribution images in neural networks.
  ☆539Updated 4 years ago
• brain-research / realistic-ssl-evaluation
  Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"
  ☆460Updated 6 years ago
• YyzHarry / imbalanced-semi-self
  [NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
  ☆760Updated 4 years ago
• CuriousAI / mean-teacher
  A state-of-the-art semi-supervised method for image recognition
  ☆1,643Updated 5 years ago
• bhanML / Co-teaching
  NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
  ☆517Updated 4 years ago
• google / uncertainty-baselines
  High-quality implementations of standard and SOTA methods on a variety of tasks.
  ☆1,550Updated 3 weeks ago