kschweig's Stars
fchollet/ARC-AGI
The Abstraction and Reasoning Corpus
oxfordinternetinstitute/oxonfair
Fairness toolkit for pytorch, scikit learn and autogluon
FAIR-Universe/HEP-Challenge
This is the repository for Fair Universe Uncertainty Challenge
jlko/semantic_uncertainty
Codebase for reproducing the experiments of the semantic uncertainty paper (short-phrase and sentence-length experiments).
PufferAI/PufferLib
Simplifying reinforcement learning for complex game environments
ml-jku/SDLG
SDLG is an efficient method to accurately estimate aleatoric semantic uncertainty in LLMs
NX-AI/xlstm
Official repository of the xLSTM.
RobustBench/robustbench
RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]
BorealisAI/advertorch
A Toolbox for Adversarial Robustness Research
microsoft/promptbench
A unified evaluation framework for large language models
QData/TextAttack
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
bethgelab/foolbox
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
cleverhans-lab/cleverhans
An adversarial example library for constructing attacks, building defenses, and benchmarking both
spencerwooo/torchattack
🛡 A set of adversarial attacks in PyTorch
normal-computing/posteriors
Uncertainty quantification with PyTorch
mseitzer/pytorch-fid
Compute FID scores with PyTorch.
abseil/abseil-py
Abseil Common Libraries (Python)
google-deepmind/uncertain_ground_truth
Dermatology ddx dataset, Jax implementations of Monte Carlo conformal prediction, plausibility regions and statistical annotation aggregation from our recent work on uncertain ground truth (TMLR'23 and ArXiv pre-print).
gtegner/mine-pytorch
Mutual Information Neural Estimation in Pytorch
JavierAntoran/Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
dsouzadaniel/fair_ensemble
aamini/evidential-deep-learning
Learn fast, scalable, and calibrated measures of uncertainty using neural networks!
aleximmer/Laplace
Laplace approximations for Deep Learning.
teddykoker/evidential-learning-pytorch
Evidential Deep Learning in PyTorch
rajpurkarlab/cheXpert-test-set-labels
joojs/fairface
FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age
Trusted-AI/adversarial-robustness-toolbox
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
Trusted-AI/AIF360
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
socialfoundations/error-parity
Achieve error-rate fairness between societal groups for any score-based classifier.
UKPLab/sentence-transformers
State-of-the-Art Text Embeddings