baifanxxx / awesome-active-learning
A curated list of awesome Active Learning
☆756Updated 4 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).☆864Updated 9 months ago
- Deep Active Learning☆822Updated 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…☆175Updated 10 months ago
- PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book☆957Updated 2 years ago
- A Survey☆549Updated 2 years ago
- Benchmarking Generalized Out-of-Distribution Detection☆933Updated 2 months ago
- Awesome Active Learning Paper List☆142Updated 10 months ago
- ☆1,140Updated 2 years ago
- A PyTorch-based library for semi-supervised learning (NeurIPS'21)☆1,330Updated last year
- ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze t…☆876Updated 2 years ago
- Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach☆266Updated 6 years ago
- A curated list of long-tailed recognition resources.☆583Updated last year
- Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]☆218Updated 4 years ago
- [NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning☆746Updated 3 years ago
- The Official Repository for "Generalized OOD Detection: A Survey"☆453Updated 2 years ago
- ☆473Updated 5 months ago
- An Incremental Learning, Continual Learning, and Life-Long Learning Repository☆571Updated 10 months ago
- A comprehensive list of awesome contrastive self-supervised learning papers.☆1,255Updated 6 months ago
- 😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.☆1,817Updated 9 months ago
- 2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.☆719Updated 2 months ago
- 关于domain generalization,domain adaptation,causality,robutness,prompt,optimization,generative model各式各样研究的阅读笔记☆1,194Updated last year
- An implementation of the BADGE batch active learning algorithm.☆202Updated 9 months ago
- PyCIL: A Python Toolbox for Class-Incremental Learning☆890Updated this week
- A codebase and a curated list of awesome deep long-tailed learning (TPAMI 2023).☆535Updated 3 months ago
- A Unified Semi-Supervised Learning Codebase (NeurIPS'22)☆1,430Updated last week
- Continual Learning papers list, curated by ContinualAI☆609Updated 10 months ago
- Collection for Few-shot Learning☆976Updated last year
- A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recog…☆1,119Updated last year
- A curated list of resources for Learning with Noisy Labels☆2,663Updated 10 months ago
- [NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss☆662Updated 3 years ago