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The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Created
2018-05-11
1,745 commits to master branch, last one 11 days ago
A curated list of resources for Learning with Noisy Labels
Created
2019-07-17
284 commits to master branch, last one 7 months ago
Curated list of open source tooling for data-centric AI on unstructured data.
nlp
data-drift
awesome-list
noisy-labels
data-curation
deep-learning
bias-detection
explainable-ai
feature-vector
synthetic-data
active-learning
computer-vision
data-centric-ai
data-versioning
machine-learning
outlier-detection
data-visualization
documentation-only
uncertainty-estimation
robust-machine-learning
Created
2023-02-27
34 commits to main branch, last one about a year ago
A curated (most recent) list of resources for Learning with Noisy Labels
Created
2021-04-14
138 commits to main branch, last one 2 months ago
The toolkit to test, validate, and evaluate your models and surface, curate, and prioritize the most valuable data for labeling.
Created
2022-09-21
653 commits to main branch, last one 6 months ago
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 3 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 3 years ago
[ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels
Created
2020-02-03
22 commits to master branch, last one 5 months ago
The official implementation of the ACM MM'21 paper Co-learning: Learning from noisy labels with self-supervision.
Created
2021-03-17
8 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 2 years ago
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 2 years 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 2 years 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 4 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
Twin Contrastive Learning with Noisy Labels (CVPR 2023)
Created
2023-03-01
6 commits to master branch, last one about a year 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
Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction (ICANN 2021)
Created
2021-01-31
16 commits to main branch, last one 3 years ago
[CVPR'22] Official Implementation of the CVPR 2022 paper "UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning"
Created
2022-03-26
67 commits to main branch, last one 2 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 2 years ago
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
This is a summary of research on noisy correspondence. There may be omissions. If anything is missing please get in touch with us. Our emails: linyijie.gm@gmail.com yangmouxing@gmail.com qinyang.gm@gm...
Created
2024-04-07
65 commits to main branch, last one 13 days ago
[ECCV 2022] Robust Object Detection With Inaccurate Bounding Boxes
Created
2022-07-11
12 commits to main branch, last one about a year ago
Use Large Language Models like OpenAI's GPT-3.5 for data annotation and model enhancement. This framework combines human expertise with LLMs, employs Iterative Active Learning for continuous improveme...
Created
2023-07-28
38 commits to master branch, last one about a year ago
SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise (BMVC2022)
Created
2022-09-30
26 commits to main branch, last one 3 months ago