robust-machine-learning topic
cleanlab
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Advances-in-Label-Noise-Learning
A curated (most recent) list of resources for Learning with Noisy Labels
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 tim...
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 increas...
ATLA_robust_RL
Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework
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.
rml-cnn
Semi-Supervised Robust Deep Neural Networks for Multi-Label Classification
rs4a
Randomized Smoothing of All Shapes and Sizes (ICML 2020).
cxr_adv
Repository for the paper "An Adversarial Approach for the Robust Classification of Pneumonia from Chest Radiographs"
awesome-open-data-centric-ai
Curated list of open source tooling for data-centric AI on unstructured data.