24 results found Sort:

687
8.9k
agpl-3.0
85
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Created 2018-05-11
1,640 commits to master branch, last one 6 hours ago
A curated list of resources for Learning with Noisy Labels
Created 2019-07-17
284 commits to master branch, last one about a month ago
23
425
apache-2.0
10
The toolkit to test, validate, and evaluate your models and surface, curate, and prioritize the most valuable data for labeling.
Created 2022-09-21
652 commits to main branch, last one about a month ago
29
286
mit
7
Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels
Created 2020-06-24
131 commits to master branch, last one about a year ago
NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).
Created 2019-09-09
15 commits to master branch, last one 2 years ago
Code for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels"
Created 2019-09-07
19 commits to master branch, last one 2 years ago
[ICML2022 Long Talk] Official Pytorch implementation of "To Smooth or Not? When Label Smoothing Meets Noisy Labels"
Created 2022-06-06
5 commits to master branch, last one about a year ago
The official implementation of the ACM MM'2021 paper Co-learning: Learning from noisy labels with self-supervision.
Created 2021-03-17
8 commits to master branch, last one 2 years ago
8
85
unknown
9
MoPro: Webly Supervised Learning
Created 2020-09-08
16 commits to master branch, last one 3 years ago
[ICLR2021] Official Pytorch implementation of "When Optimizing f-Divergence is Robust with Label noise"
Created 2021-02-15
13 commits to main branch, last one 3 years ago
Adaptive Early-Learning Correction for Segmentation from Noisy Annotations (CVPR 2022 Oral)
Created 2021-10-05
4 commits to master branch, last one about a year ago
The official code for the paper "Delving Deep into Label Smoothing", IEEE TIP 2021
Created 2021-01-04
29 commits to main branch, last one about a year ago
[NeurIPS 2020] Disentangling Human Error from the Ground Truth in Segmentation of Medical Images
Created 2020-07-26
186 commits to master branch, last one 3 years ago
PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"
Created 2020-09-30
4 commits to master branch, last one 3 years ago
Official Implementation of Unweighted Data Subsampling via Influence Function - AAAI 2020
Created 2019-11-12
20 commits to master branch, last one 3 years ago
9
62
unknown
4
Twin Contrastive Learning with Noisy Labels (CVPR 2023)
Created 2023-03-01
6 commits to master branch, last one 10 months ago
noisy labels; missing labels; semi-supervised learning; entropy; uncertainty; robustness and generalisation.
Created 2020-06-07
40 commits to master branch, last one about a year ago
Official Implementation of the CVPR 2022 paper "UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning"
Created 2022-03-26
64 commits to main branch, last one 5 months ago
16
55
unknown
5
Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction (ICANN 2021)
Created 2021-01-31
16 commits to main branch, last one 2 years ago
10
49
mit
3
Learning Cross-Modal Retrieval with Noisy Labels (CVPR 2021, PyTorch Code)
Created 2021-04-06
103 commits to main branch, last one 2 years ago
PyTorch implementation for Partially View-aligned Representation Learning with Noise-robust Contrastive Loss (CVPR 2021)
Created 2021-03-24
10 commits to main branch, last one 2 years ago
[ECCV 2022] Robust Object Detection With Inaccurate Bounding Boxes
Created 2022-07-11
12 commits to main branch, last one 8 months ago