Alternatives and similar repositories for ALiPy

Users that are interested in ALiPy are comparing it to the libraries listed below

• google / active-learning
  ☆1,160Updated 2 years ago
• rmunro / pytorch_active_learning
  PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book
  ☆966Updated 2 years ago
• ej0cl6 / deep-active-learning
  Deep Active Learning
  ☆837Updated 2 years 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 5 years ago
• modAL-python / modAL
  A modular active learning framework for Python
  ☆2,301Updated last year
• baifanxxx / awesome-active-learning
  A curated list of awesome Active Learning
  ☆771Updated 8 months ago
• google-research / mixmatch
  ☆1,141Updated 2 years ago
• baal-org / baal
  Bayesian active learning library for research and industrial usecases.
  ☆900Updated 3 weeks ago
• ozansener / active_learning_coreset
  Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach
  ☆272Updated 6 years ago
• YyzHarry / imbalanced-semi-self
  [NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
  ☆754Updated 4 years ago
• google-research / uda
  Unsupervised Data Augmentation (UDA)
  ☆2,192Updated 3 years ago
• BlackHC / BatchBALD
  Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.
  ☆241Updated last year
• alvinwan / neural-backed-decision-trees
  Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
  ☆622Updated 2 years ago
• SupeRuier / awesome-active-learning
  Everything you need about Active Learning (AL).
  ☆905Updated last year
• google-research / fixmatch
  A simple method to perform semi-supervised learning with limited data.
  ☆1,166Updated 11 months ago
• scikit-multilearn / scikit-multilearn
  A scikit-learn based module for multi-label et. al. classification
  ☆940Updated last year
• bhanML / Co-teaching
  NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
  ☆507Updated 3 years ago
• scikit-learn-contrib / metric-learn
  Metric learning algorithms in Python
  ☆1,424Updated 11 months ago
• gorkemalgan / deep_learning_with_noisy_labels_literature
  This repo consists of collection of papers and repos on the topic of deep learning by noisy labels / label noise.
  ☆234Updated 3 years ago
• sinhasam / vaal
  Variational Adversarial Active Learning (ICCV 2019)
  ☆231Updated 2 years ago
• mbs0221 / Multitask-Learning
  Awesome Multitask Learning Resources
  ☆667Updated 4 years ago
• vandit15 / Class-balanced-loss-pytorch
  Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"
  ☆800Updated last year
• yongjin-shin / awesome-active-learning
  Awesome Active Learning Paper List
  ☆142Updated last year
• ZhiningLiu1998 / awesome-imbalanced-learning
  😎 Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库
  ☆1,462Updated 4 months ago
• JordanAsh / badge
  An implementation of the BADGE batch active learning algorithm.
  ☆207Updated last year
• ankurtaly / Integrated-Gradients
  Attributing predictions made by the Inception network using the Integrated Gradients method
  ☆630Updated 3 years ago
• Mephisto405 / Learning-Loss-for-Active-Learning
  Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]
  ☆219Updated 4 years ago
• GT-RIPL / L2C
  Learning to Cluster. A deep clustering strategy.
  ☆315Updated 5 years ago
• iBelieveCJM / Tricks-of-Semi-supervisedDeepLeanring-Pytorch
  PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch
  ☆451Updated 2 years 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