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awesome-open-data-centric-ai

Renumics / awesome-open-data-centric-ai

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

nlp machine-learning computer-vision deep-learning data-visualization awesome-list outlier-detection feature-vector uncertainty-estimation active-learning data-versioning data-curation synthetic-data explainable-ai bias-detection robust-machine-learning noisy-labels data-drift data-centric-ai documentation-only

Updated Nov 15, 2023

weijiaheng / Advances-in-Label-Noise-Learning

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

deep-neural-networks deep-learning conference paper weakly-supervised-learning robustness international-conference noisy-data label-noise robust-machine-learning noisy-labels noisy-label-learning learning-with-noisy-labels unreliable-labels robust-learning learning-with-label-noise

Updated Oct 18, 2024

Echo-Ji / ST-SSL

ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction

data-mining adaptive representation-learning data-augmentation aaai fairness spatio-temporal-data robustness spatio-temporal-prediction traffic-flow-prediction graph-neural-networks self-supervised-learning robust-machine-learning traffic-forecasting contrastive-learning graph-augmentation location-embedding

Updated Dec 12, 2024
Python

lishenghui / blades

⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning

distributed-systems robust-optimization federated federated-learning robust-machine-learning byzantine-fault-tolerance federated-learning-framework fedavg federated-learning-simulator robust-federated-learning model-poisoning-attack

Updated Feb 16, 2025
Python

aai-institute / pyDVL

pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation

machine-learning game-theory data-cleaning data-quality banzhaf-index influence-functions robust-machine-learning shapley-value data-valuation data-centric-ai transferlab least-core data-pruning

Updated Sep 7, 2025
Python

EzgiKorkmaz / adversarial-reinforcement-learning

Reading list for adversarial perspective and robustness in deep reinforcement learning.

deep-reinforcement-learning ai-safety machine-learning-security ai-security robust-machine-learning ai-alignment safe-reinforcement-learning robust-reinforcement-learning responsible-ai adversarial-reinforcement-learning secure-ai ml-security llm-security reinforcement-learning-safety llm-safety artificial-intelligence-security artificial-intelligence-alignment robust-deep-reinforcement-learning reinforcement-learning-security large-language-model-safety

Updated Jul 25, 2025

yanliang3612 / awesome-imbalanced-learning-on-graphs

A repository contains a collection of resources and papers on Imbalance Learning On Graphs

imbalanced-learning graph-neural-networks robust-machine-learning

Updated May 29, 2025

dlmacedo / entropic-out-of-distribution-detection

A project to add scalable state-of-the-art out-of-distribution detection (open set recognition) support by changing two lines of code! Perform efficient inferences (i.e., do not increase inference time) and detection without classification accuracy drop, hyperparameter tuning, or collecting additional data.

machine-learning deep-learning pytorch ood osr ai-safety open-set anomaly-detection novelty-detection robust-machine-learning open-set-recognition out-of-distribution out-of-distribution-detection ood-detection trustworthy-machine-learning trustworthy-ai

Updated Sep 22, 2022
Python

huanzhang12 / ATLA_robust_RL

Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework

reinforcement-learning deep-reinforcement-learning reinforcement-learning-algorithms adversarial-examples robust-machine-learning robust-reinforcement-learning

Updated Jan 26, 2021
Python

tonyduan / rs4a

Randomized Smoothing of All Shapes and Sizes (ICML 2020).

machine-learning adversarial-examples robust-machine-learning randomized-smoothing

Updated Jul 23, 2020
Jupyter Notebook

cpwan / Attack-Adaptive-Aggregation-in-Federated-Learning

This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.

machine-learning adversarial-attacks federated-learning robust-machine-learning

Updated Jun 12, 2023
Jupyter Notebook

dlmacedo / distinction-maximization-loss

A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in your project! Perform efficient inferences (i.e., do not increase inference time) without repetitive model training, hyperparameter tuning, or collecting additional data.

machine-learning deep-learning pytorch classification ood osr uncertainty-estimation ai-safety open-set anomaly-detection novelty-detection robust-machine-learning open-set-recognition out-of-distribution out-of-distribution-detection ood-detection trustworthy-machine-learning trustworthy-ai

Updated Sep 22, 2022
Python

vio1etus / FLPoison

FLPoison: Benchmarking Poisoning Attacks and Defenses in Federated Learning

benchmarking pytorch adversarial-attacks federated-learning robust-machine-learning byzantine-robust poisoning-defenses

Updated Sep 22, 2025
Python

AaronCIH / SJDL-Foggy-Vehicle-Re-Identification--AAAI2022

AAAI22-SJDL-Vehicle: Semi-supervised Joint Defogging Learning for Foggy Vehicle Re-identification

deep-learning dataset aaai degradation reid robust-machine-learning imageretrieval

Updated Oct 3, 2022
Python

TinfoilHat0 / Defending-Against-Backdoors-with-Robust-Learning-Rate

The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".

machine-learning deep-learning pytorch distributed-machine-learning adversarial-attacks federated-learning robust-machine-learning backdoor-attacks

Updated Oct 3, 2022
Python

monk1337 / Awesome-Robust-Machine-Learning

A curated list of Robust Machine Learning papers/articles and recent advancements.

machine-learning deep-learning healthcare awesome-list ood fairness covariate-shift federated-learning machine-learning-bias fairness-testing bias-detection robust-machine-learning fairness-ai concept-shift fairness-ml robust-learning label-shift data-shift distribution-shift healthcare-federated-learning

Updated Oct 13, 2022

ZFancy / SFAT

[ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"

adversarial-learning federated-learning robust-machine-learning federated-adversarial-learning data-heterogeneity

Updated Jun 7, 2023
Python

autonlab / aqua

AQuA: A Benchmarking Tool for Label Quality Assessment, NeurIPS'23 D&B

data-science machine-learning data-cleaning robust-machine-learning label-errors data-centric-ai

Updated Oct 17, 2023
Jupyter Notebook

suinleelab / cxr_adv

Repository for the paper "An Adversarial Approach for the Robust Classification of Pneumonia from Chest Radiographs"

machine-learning radiology adversarial-machine-learning robust-machine-learning

Updated Jan 14, 2020
Python

monk1337 / Awesome-Distribution-Shift

A curated list of Distribution Shift papers/articles and recent advancements.

data machine-learning machine-learning-algorithms ood fairness covariate-shift bias-detection robust-machine-learning concept-shift fairness-ml label-shift ood-detection data-shift distribution-shift

Updated Oct 20, 2022

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