baifanxxx / awesome-active-learning
A curated list of awesome Active Learning
☆764Updated 5 months ago
Alternatives and similar repositories for awesome-active-learning:
Users that are interested in awesome-active-learning are comparing it to the libraries listed below
- Everything you need about Active Learning (AL).☆876Updated 10 months ago
- Deep Active Learning☆826Updated 2 years ago
- This is a toolbox for Deep Active Learning, an extension from previous work https://github.com/ej0cl6/deep-active-learning (DeepAL toolbo…☆178Updated 11 months ago
- A Survey☆555Updated 2 years ago
- ☆476Updated 6 months ago
- The Official Repository for "Generalized OOD Detection: A Survey"☆455Updated 2 years ago
- PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book☆959Updated 2 years ago
- ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze t…☆880Updated 2 years ago
- Benchmarking Generalized Out-of-Distribution Detection☆947Updated 3 weeks ago
- A PyTorch-based library for semi-supervised learning (NeurIPS'21)☆1,340Updated last year
- ☆1,150Updated 2 years ago
- 😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.☆1,832Updated 10 months ago
- This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"☆465Updated last year
- A list of multi-task learning papers and projects.☆370Updated 3 years ago
- Awesome Active Learning Paper List☆141Updated 11 months ago
- Collection for Few-shot Learning☆980Updated last year
- [NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning☆750Updated 4 years ago
- A curated list of long-tailed recognition resources.☆584Updated last year
- 2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.☆738Updated 3 months ago
- [NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss☆665Updated 3 years ago
- An Incremental Learning, Continual Learning, and Life-Long Learning Repository☆576Updated 11 months ago
- A comprehensive list of awesome contrastive self-supervised learning papers.☆1,266Updated 7 months ago
- PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"☆583Updated 2 years ago
- A codebase and a curated list of awesome deep long-tailed learning (TPAMI 2023).☆546Updated 4 months ago
- A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recog…☆1,133Updated last year
- An implementation of the BADGE batch active learning algorithm.☆204Updated 10 months ago
- 😎 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☆1,429Updated last month
- Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning☆555Updated 4 years ago
- A Unified Semi-Supervised Learning Codebase (NeurIPS'22)☆1,453Updated last month
- Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach☆269Updated 6 years ago