ej0cl6 / deep-active-learningLinks
Deep Active Learning
☆837Updated 2 years ago
Alternatives and similar repositories for deep-active-learning
Users that are interested in deep-active-learning are comparing it to the libraries listed below
Sorting:
- PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book☆966Updated 2 years ago
- A curated list of awesome Active Learning☆771Updated 8 months ago
- ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze t…☆883Updated 2 years ago
- ☆1,160Updated 2 years ago
- 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
- Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach☆272Updated 6 years ago
- This is a toolbox for Deep Active Learning, an extension from previous work https://github.com/ej0cl6/deep-active-learning (DeepAL toolbo…☆182Updated last year
- An implementation of the BADGE batch active learning algorithm.☆207Updated last year
- Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]☆219Updated 4 years ago
- Variational Adversarial Active Learning (ICCV 2019)☆231Updated 2 years ago
- Everything you need about Active Learning (AL).☆905Updated last year
- Awesome Active Learning Paper List☆142Updated last year
- Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.☆241Updated last year
- Bayesian active learning library for research and industrial usecases.☆900Updated 3 weeks ago
- Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"☆788Updated 2 years ago
- ☆415Updated 3 years ago
- A Survey☆564Updated 2 years ago
- 😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.☆1,844Updated last year
- A simple method to perform semi-supervised learning with limited data.☆1,166Updated 11 months ago
- Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning☆559Updated 4 years ago
- NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels☆507Updated 3 years ago
- This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"☆478Updated last year
- [NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning☆754Updated 4 years ago
- PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch☆451Updated 2 years ago
- A simple way to calibrate your neural network.☆1,153Updated 3 years ago
- [NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss☆682Updated 3 years ago
- A PyTorch-based library for semi-supervised learning (NeurIPS'21)☆1,354Updated last year
- Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"☆653Updated last year
- Implementation of Deep Bayesian Active Learning with Image Data with modAL (python module for Active Learning)☆26Updated 6 years ago
- A curated list of long-tailed recognition resources.☆585Updated 2 years ago