Renumics/awesome-open-data-centric-ai

Curated list of open source tooling for data-centric AI on unstructured data.

Size: 572 KB - Last synced at: 8 days ago - Pushed at: over 1 year ago - Stars: 719 - Forks: 35

XLearning-SCU/Awesome-Noisy-Correspondence

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: [email protected] [email protected] [email protected]

Size: 236 KB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 56 - Forks: 4

cleanlab/cleanlab-studio

Client interface to Cleanlab Studio and the Trustworthy Language Model

Language: Python - Size: 3.52 MB - Last synced at: 7 days ago - Pushed at: 3 months ago - Stars: 32 - Forks: 9

encord-team/encord-active

The toolkit to test, validate, and evaluate your models and surface, curate, and prioritize the most valuable data for labeling.

Language: Python - Size: 264 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 449 - Forks: 26

cleanlab/cleanlab

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Language: Python - Size: 11.5 MB - Last synced at: 13 days ago - Pushed at: about 2 months ago - Stars: 10,536 - Forks: 826

subeeshvasu/Awesome-Learning-with-Label-Noise

A curated list of resources for Learning with Noisy Labels

Size: 400 KB - Last synced at: 18 days ago - Pushed at: 29 days ago - Stars: 2,680 - Forks: 354

salesforce/MoPro 📦

MoPro: Webly Supervised Learning

Language: Python - Size: 603 KB - Last synced at: 24 days ago - Pushed at: about 1 month ago - Stars: 87 - Forks: 8

Pengchengpcx/sslnoisy_label

[TMLR 2025] Uniform Noise Distribution and Compact Clusters: Unveil The Key to Self-Supervised Learning's Success in Label Noise

Size: 1000 Bytes - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Hzzone/TCL

Twin Contrastive Learning with Noisy Labels (CVPR 2023)

Language: Python - Size: 834 KB - Last synced at: 5 days ago - Pushed at: almost 2 years ago - Stars: 70 - Forks: 10

Shihab-Shahriar/scikit-clean

A collection of algorithms for detecting and handling label noise

Language: Python - Size: 838 KB - Last synced at: 16 days ago - Pushed at: 12 months ago - Stars: 16 - Forks: 3

chengtan9907/Co-learning

The official implementation of the ACM MM'21 paper Co-learning: Learning from noisy labels with self-supervision.

Language: Python - Size: 104 KB - Last synced at: 26 days ago - Pushed at: about 3 years ago - Stars: 120 - Forks: 10

weijiaheng/Advances-in-Label-Noise-Learning

A curated (most recent) list of resources for Learning with Noisy Labels

Size: 528 KB - Last synced at: about 2 months ago - Pushed at: 8 months ago - Stars: 684 - Forks: 62

wish44165/ntd

CVPR 2024 (Seattle, USA) - CLVision Workshop

Language: Python - Size: 26.4 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

MrChenFeng/SSR_BMVC2022

SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise (BMVC2022)

Language: Python - Size: 6.08 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 30 - Forks: 7

nazmul-karim170/C-SFDA

[CVPR 2023] Official Implementation of "C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adaptation""

Language: Python - Size: 146 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 20 - Forks: 0

XLearning-SCU/2021-CVPR-MvCLN

PyTorch implementation for Partially View-aligned Representation Learning with Noise-robust Contrastive Loss (CVPR 2021)

Language: Python - Size: 7.14 MB - Last synced at: 2 months ago - Pushed at: about 3 years ago - Stars: 47 - Forks: 12

ies-research/multi-annotator-machine-learning

Training with Data Annotated by Multipe Error-prone Annotators

Language: Python - Size: 8.34 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 11 - Forks: 1

shengliu66/ELR

Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels

Language: Python - Size: 4.94 MB - Last synced at: 24 days ago - Pushed at: about 2 years ago - Stars: 295 - Forks: 29

praveena2j/awesome-Weakly-Supervised-Facial-Behavior-Analysis

A curated list of weakly supervised learning methods and datasets for facial behavior analysis.

Size: 908 KB - Last synced at: 27 days ago - Pushed at: 7 months ago - Stars: 2 - Forks: 0

nazmul-karim170/UNICON

[CVPR'22] Official Implementation of the CVPR 2022 paper "UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning"

Language: Python - Size: 886 KB - Last synced at: about 2 months ago - Pushed at: 8 months ago - Stars: 61 - Forks: 15

glhr/ood-labelnoise

"A noisy elephant in the room: Is your out-of-distribution detector robust to label noise?" (CVPR 2024)

Language: Jupyter Notebook - Size: 29 MB - Last synced at: 2 months ago - Pushed at: 9 months ago - Stars: 9 - Forks: 0

RuoyuGuo/MaskGA_Net

Learning with Noise: Mask-Guided Attention Model for Weakly Supervised Nuclei Segmentation (MICCAI2021)

Language: Python - Size: 27.6 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 12 - Forks: 3

26hzhang/CoTeaching

A TensorFlow implementation of "Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels"

Language: Python - Size: 37.1 KB - Last synced at: about 1 month ago - Pushed at: almost 6 years ago - Stars: 7 - Forks: 4

ydkim1293/NLNL-Negative-Learning-for-Noisy-Labels

NLNL: Negative Learning for Noisy Labels

Language: Python - Size: 129 MB - Last synced at: about 2 months ago - Pushed at: over 5 years ago - Stars: 104 - Forks: 23

ies-research/multi-annotator-deep-learning

Code associated to the article "Multi-annotator Deep Learning: A Probabilistic Framework for Classification"

Language: Python - Size: 116 KB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 6 - Forks: 0

cgnorthcutt/confidentlearning-reproduce

Official data release to reproduce Confident Learning paper results

Language: Jupyter Notebook - Size: 205 MB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 40 - Forks: 16

ies-research/intelligent-crowdworker-selection

Code associated to the article "Who knows best? Intelligent Crowdworker Selection via Deep Learning"

Language: Python - Size: 49.8 KB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

lucia2p2z/NoisyMRC

implementation of the method presented in "Minimax Risk Classifiers for Mislabeled Data: a Study on Patient Outcome Prediction Tasks".

Language: Python - Size: 2.65 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

XinshaoAmosWang/ProSelfLC-AT

noisy labels; missing labels; semi-supervised learning; entropy; uncertainty; robustness and generalisation.

Language: HTML - Size: 10.4 MB - Last synced at: 5 days ago - Pushed at: almost 3 years ago - Stars: 59 - Forks: 2

mminici/SGNNfromSparseAndNoisyLabels

Repository to reproduce "Link Polarity Prediction from Sparse and Noisy Labels via Multiscale Social Balance" accepted at CIKM2024

Language: Python - Size: 35.2 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

songheony/TAkS

Official code of "No Regret Sample Selection with Noisy Labels"

Language: Python - Size: 248 KB - Last synced at: 25 days ago - Pushed at: about 2 years ago - Stars: 7 - Forks: 1

MohammedAlkhrashi/DeepNoise

A PyTorch framework for learning with noisy labels.

Language: Python - Size: 85 KB - Last synced at: 7 months ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 0

shivamsaboo17/GLC

Gold Loss Correction for training neural networks with labels corrupted with severe noise

Language: Jupyter Notebook - Size: 8.79 KB - Last synced at: about 2 months ago - Pushed at: almost 6 years ago - Stars: 13 - Forks: 2

bupt-ai-cz/PGDF

Sample Prior Guided Robust Model Learning to Suppress Noisy Labels

Language: Python - Size: 33.2 KB - Last synced at: about 2 months ago - Pushed at: about 3 years ago - Stars: 31 - Forks: 5

huangyangyu/NoiseFace

Noise-Tolerant Paradigm for Training Face Recognition CNNs [Official, CVPR 2019]

Language: Python - Size: 3.24 MB - Last synced at: about 2 months ago - Pushed at: about 6 years ago - Stars: 136 - Forks: 22

Atheer2104/dd2424-CNN-classificaiton-project

CNN Image classification for Cifar 10 & Cifar 100 dataset using PyTorch

Language: Python - Size: 53.5 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

zh-jp/noisy-cifar

Cifar with Noisy from Human or Synthesis

Language: Python - Size: 423 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

SunilBoopalan/Suicide-Depression-Classification-with-nlp

Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction. 2021

Language: Python - Size: 1.29 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1

saran9991/llm-data-annotation

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 improvement, and integrates CleanLab (Confident Learning) to ensure high-quality datasets and better model performance

Language: Python - Size: 4.04 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 16 - Forks: 2

RyanWangZf/Influence_Subsampling

Official Implementation of Unweighted Data Subsampling via Influence Function - AAAI 2020

Language: Python - Size: 11 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 65 - Forks: 15

dr-darryl-wright/Noisy-Labels-with-Bootstrapping

Keras implementation of Training Deep Neural Networks on Noisy Labels with Bootstrapping, Reed et al. 2015

Language: Python - Size: 307 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 22 - Forks: 7

HanxunH/Active-Passive-Losses

[ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels

Language: Python - Size: 4.76 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 123 - Forks: 28

YisenWang/symmetric_cross_entropy_for_noisy_labels

Code for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels"

Language: Python - Size: 26.4 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 165 - Forks: 32

sagebei/Exploring-Parity-Challenges-in-Reinforcement-Learning

Exploring Parity Challenges in Reinforcement Learning through Curriculum Learning with Noisy Labels

Language: Jupyter Notebook - Size: 104 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

moucheng2017/Learn_Noisy_Labels_Medical_Images

[NeurIPS 2020] Disentangling Human Error from the Ground Truth in Segmentation of Medical Images

Language: Python - Size: 83.2 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 67 - Forks: 15

anyuexuan/IDEAL

Code for "From Instance to Metric Calibration: A Unified Framework for Open-World Few-Shot Learning" in TPAMI 2023.

Language: Python - Size: 239 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 8 - Forks: 0

xjtushujun/meta-weight-net

NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).

Language: Python - Size: 2.84 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 264 - Forks: 65

chenpf1025/SLN

ICLR 2021: Noise against noise: stochastic label noise helps combat inherent label noise

Language: Python - Size: 14.1 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 14 - Forks: 2

arghosh/noisy_label_pretrain

Language: Python - Size: 175 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 30 - Forks: 9

arghosh/RobustMW-Net

Language: Python - Size: 13.7 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 3

ayaanzhaque/SDCNL

Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction (ICANN 2021)

Language: Python - Size: 5.66 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 53 - Forks: 19

ContrastToDivide/C2D

PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"

Language: Python - Size: 865 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 64 - Forks: 13

PunkMale/OR-Gate

Official PyTorch implementation of the paper "Robust Training for Speaker Verification against Noisy Labels" in INTERSPEECH 2023.

Language: Python - Size: 27.2 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 0

cxliu0/Noisy-Labels-in-Computer-Vision

A curated list of papers that study learning with noisy labels.

Size: 89.8 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 1

junchenzhi/Neural-Hidden-CRF

Code for the KDD-2023 paper: Neural-Hidden-CRF: A Robust Weakly-Supervised Sequence Labeler

Language: Python - Size: 6.37 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 0

cxliu0/OA-MIL

[ECCV 2022] Robust Object Detection With Inaccurate Bounding Boxes

Language: Python - Size: 4.16 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 33 - Forks: 2

Wakings/TABASCO

Label-Noise Learning with Intrinsically Long-Tailed Data（ICCV2023）

Language: Python - Size: 40 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

junchenzhi/Awesome-Weak-Supervision-Sequence-Labeling

A curated list of awesome Weak-Supervision-Sequence-Labeling (WSSL) papers, methods & resources.

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zhangchbin/OnlineLabelSmoothing

The official code for the paper "Delving Deep into Label Smoothing", IEEE TIP 2021

Language: Python - Size: 2.05 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 63 - Forks: 8

abdoush/SurvPRD

Discovering Premature Replacements in Predictive Maintenance Time-to-Event Data

Language: Jupyter Notebook - Size: 1.02 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

penghu-cs/MRL

Learning Cross-Modal Retrieval with Noisy Labels (CVPR 2021, PyTorch Code)

Language: Python - Size: 23.9 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 44 - Forks: 10

debajyotid2/noisy_prediction_calibration

Implementation of Noisy Prediction Calibration (NPC) in Tensorflow

Language: Python - Size: 101 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

GuanlinLee/Noisy-LVIS

A benchmark for instance segmentation on the long-tailed and noisy dataset.

Language: Python - Size: 1.12 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

VirtuosoResearch/Regularized-Self-Labeling

A regularized self-labeling approach to improve the generalization and robustness of fine-tuned models

Language: Python - Size: 241 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 25 - Forks: 1

Kangningthu/ADELE

Adaptive Early-Learning Correction for Segmentation from Noisy Annotations (CVPR 2022 Oral)

Language: Python - Size: 85.9 KB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 63 - Forks: 8

weijiaheng/Robust-f-divergence-measures

[ICLR2021] Official Pytorch implementation of "When Optimizing f-Divergence is Robust with Label noise"

Language: Python - Size: 82.7 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 80 - Forks: 21

chenpf1025/noisy_label_understanding_utilizing

ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels

Language: Python - Size: 1.95 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 82 - Forks: 22

UCSC-REAL/negative-label-smoothing

[ICML2022 Long Talk] Official Pytorch implementation of "To Smooth or Not? When Label Smoothing Meets Noisy Labels"

Language: Python - Size: 337 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 73 - Forks: 9

sanweiliti/noisyFER

The official pytorch code for paper "Facial Emotion Recognition with Noisy Multi-task Annotations" (2021 WACV)

Language: Python - Size: 9.61 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 21 - Forks: 4

GuanlinLee/Adversarial-Training-on-Noisy-Dataset

Adversarial training on Noisy Datasets

Language: Python - Size: 20.5 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

wangjksjtu/rl-perturbed-reward

Reinforcement Learning with Perturbed Reward, AAAI 2020

Language: Python - Size: 159 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 21 - Forks: 3

LJY-HY/MentorMix_pytorch

[MentorMix] "Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels" implemented in the PyTorch version.

Language: Python - Size: 36.1 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 14 - Forks: 2

bupt-ai-cz/Label-Noise-Robust-Training

Noise Robust Learning with Hard Example Aware for Pathological Image classification

Language: Python - Size: 528 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 1

chenpf1025/RobustnessAccuracy

AAAI 2021: Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels

Language: Python - Size: 22.7 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 20 - Forks: 2

MohammedAlkhrashi/PermLL

PyTorch implementation of the paper: On Robust Learning from Noisy Labels: A Permutation Layer Approach

Language: Jupyter Notebook - Size: 2.07 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

chenpf1025/IDN

AAAI 2021: Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise

Language: Python - Size: 13.6 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 26 - Forks: 8

Billy1900/Awesome-Learning-With-Noisy-Labels

Awesome curated list of learning with noisy labels

Size: 21.5 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 2

mangye16/ReID-Label-Noise

Language: Python - Size: 3.21 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 16 - Forks: 6

sh4174/HypernetEnsemble

Hypernetwork-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous Labels

Language: Python - Size: 13.8 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 6 - Forks: 1

e-wxy/NL-Sparse-Regularization Fork of hitcszx/lnl_sr

Robust learning on ISIC 2018, based on Learning with Noisy Labels via Sparse Regularization (ICCV 2021).

Language: Jupyter Notebook - Size: 373 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

NeurAI-Lab/NCT

The official PyTorch code for WACV'21 Paper "Noisy Concurrent Training for Efficient Learning under Label Noise"

Language: Python - Size: 85 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1

mark-antal-csizmadia/re-sln

Re-implementation of the paper titled "Noise against noise: stochastic label noise helps combat inherent label noise" from ICLR 2021.

Language: Python - Size: 542 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

alexmirrington/class-conditional-label-noise

Implementations of different loss-correction techniques to help deep models learn under class-conditional label noise.

Language: Python - Size: 7.06 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

semantic-health/deep-patient-cohorts

A tool for automatically labelling discharge summaries into disease categories.

Language: Python - Size: 539 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 3

yurayli/shopee-product-categorization

Shopee Code League 2020 image competition 7th place solution

Language: Jupyter Notebook - Size: 7.42 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

nicolas-dufour/cassava-leaf-disease-classification

The objective of this project is to be able to discriminate from 4 of the most common leaf disease that infect cassava crops.

Language: Python - Size: 14.2 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

sjenni/DeepBilevel

Deep Bilevel Learning. In ECCV, 2018.

Language: Python - Size: 848 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 9 - Forks: 3

aajanki/label-noise-classification

A small experiment on classification with noisy labels

Language: Jupyter Notebook - Size: 458 KB - Last synced at: 3 months ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0