This is the code of paper ``Contrastive Coding for Active Learning under Class Distribution Mismatch'' with python.
☆28Jan 5, 2023Updated 3 years ago
Alternatives and similar repositories for CCAL
Users that are interested in CCAL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆19Jun 8, 2022Updated 3 years ago
- [AAAI 2024] An Implementation of Entropic Open-set Active Learning☆28Apr 28, 2024Updated 2 years ago
- PyTorch Implementation of Temporal Output Discrepancy for Active Learning, ICCV 2021☆40Sep 14, 2022Updated 3 years ago
- [ACMMM 2023] BMMAL: Towards Balanced Active Learning for Multimodal Classification☆17Sep 25, 2023Updated 2 years ago
- ☆47Feb 9, 2024Updated 2 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets☆106Oct 22, 2024Updated last year
- Code for the EMNLP 2021 Paper "Active Learning by Acquiring Contrastive Examples" & the ACL 2022 Paper "On the Importance of Effectively …☆128May 24, 2022Updated 3 years ago
- State-Relabeling Adversarial Active Learning☆14Aug 17, 2021Updated 4 years ago
- [CVPR2021] Task-Aware Variational Adversarial Active Learning☆42Mar 19, 2024Updated 2 years ago
- [NeurIPS 2021] “Improving Contrastive Learning on Imbalanced Data via Open-World Sampling”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangya…☆29Dec 30, 2021Updated 4 years ago
- A PyTorch toolkit with 8 popular deep active learning query methods implemented.☆91Sep 14, 2021Updated 4 years ago
- nanodet_rknn on rk3399pro platform☆17Apr 17, 2022Updated 4 years ago
- ☆50Nov 11, 2024Updated last year
- Code base for the EMNLP 2021 Findings paper: Cartography Active Learning☆14Jun 3, 2025Updated 11 months ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Awesome-open-world-learning☆26Oct 19, 2021Updated 4 years ago
- Active Learning Helps Pretrained Models Learn the Intended Task (https://arxiv.org/abs/2204.08491) by Alex Tamkin, Dat Nguyen, Salil Desh…☆11Nov 22, 2022Updated 3 years ago
- [MIDL 2023] Official Imeplementation of "Making Your First Choice: To Address Cold Start Problem in Vision Active Learning"☆36Aug 3, 2023Updated 2 years ago
- Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.☆69Aug 16, 2023Updated 2 years ago
- ☆27Oct 19, 2021Updated 4 years ago
- Wasserstein Adversarial Active Learning☆29Jul 6, 2020Updated 5 years ago
- Official PyTorch implementation of "PT4AL: Using Self-Supervised Pretext Tasks for Active Learning (ECCV2022)"☆57May 3, 2024Updated 2 years ago
- Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training wi…☆54Nov 29, 2021Updated 4 years ago
- NanoDet for Jetson Nano☆11Sep 30, 2023Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆14Jul 7, 2024Updated last year
- ☆10May 24, 2022Updated 3 years ago
- Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift (ICCV 2021)☆20Nov 28, 2021Updated 4 years ago
- ☆14Jun 3, 2021Updated 4 years ago
- pytorch reimplementation for Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-Transform Domain☆11Oct 30, 2022Updated 3 years ago
- ☆15Aug 28, 2024Updated last year
- convert cityscape segmentation label to pascal voc bbox label☆12Mar 10, 2019Updated 7 years ago
- A list of active learning methods for deep learning.☆65Jan 14, 2024Updated 2 years ago
- PyTorch code for Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings (ICCV 2021)☆44Sep 22, 2023Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach☆279Oct 23, 2018Updated 7 years ago
- PyTorch KoBART/DistilKoBART Application☆14Oct 10, 2022Updated 3 years ago
- Awesome Active Learning Paper List☆148Apr 23, 2024Updated 2 years ago
- Deep Bayesian Active Learning with Image Data by Gal et al. (ICML 2017)☆46Apr 3, 2022Updated 4 years ago
- Codes for: D-MIL: Discrepant multiple instance learning for weakly supervised object detection☆15Sep 11, 2021Updated 4 years ago
- A comprehensive overview of Data Distillation and Condensation (DDC). DDC is a data-centric task where a representative (i.e., small but …☆13Dec 1, 2022Updated 3 years ago
- Official code for ICLR 2024 paper, SEABO: A Simple Search-Based Method for Offline Imitation Learning☆12Jan 19, 2024Updated 2 years ago