kakaeriol's Stars
EbookFoundation/free-programming-books
:books: Freely available programming books
easeml/datascope
Measuring data importance over ML pipelines using the Shapley value.
reds-lab/projektor
This is an official repository for "Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources" (NeurIPS 2023).
kolpaczki/svarm-iq
This repository contains the proposed algorithm SVARM-IQ and the code to rperoduce the experiments of the paper "SVARM-IQ; Efficient Approximation of Any-order Shapley-Interactions through Stratification"
p-lambda/dsir
DSIR large-scale data selection framework for language model training
kolpaczki/Approximating-the-Shapley-Value-without-Marginal-Contributions
Code and Appendix for Shapley Approximation Methods SVARM and Stratified SVARM (AAAI 2024)
BobbyZhouZijian/ProbablyApproximateShapleyFairness
Code Repository for the AAAI-23 Oral Paper "Probably Approximate Shapley Fairness with Applications in Machine Learning"
NVIDIA/apex
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
bytedance/byteps
A high performance and generic framework for distributed DNN training
XinyiYS/CollaborativeFairFederatedLearning
Official implementation of our work "Collaborative Fairness in Federated Learning."
google-research/federated
A collection of Google research projects related to Federated Learning and Federated Analytics.
YehongZ/CollaborativeBO
Collaborative Bayesian Optimization with Fair Regret
microsoft/generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
aliutkus/torchinterp1d
1D interpolation for pytorch
CoRiis/active-learning-fbgp
Bayesian Active Learning with Fully Bayesian Gaussian Processes
QianLab/NR_SMOCU_SGD_GPC
open source code for the paper "Efficient Active Learning for Gaussian Process Classification by Error Reduction"
fbickfordsmith/epig
Bayesian active learning with EPIG data acquisition
openai/CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
youngfish42/Awesome-FL
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
skywalker023/confaide
🤫 Code and benchmark for our ICLR 2024 spotlight paper: "Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory"
brunocampos01/federated-learning-for-text-generation
Machine learning project using federated learning for text generation
marcoancona/DASP
Keras implementation for DASP: Deep Approximate Shapley Propagation (ICML 2019)
aai-institute/pyDVL
pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation
RAMitchell/shap_sampling
daviddao/awesome-data-valuation
💱 A curated list of data valuation (DV) to design your next data marketplace
privacytrustlab/ml_privacy_meter
Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
wangleye/FedValue
muandet-lab/ExplainingGaussianProcess
The repository contains code for the project "Explain the uncertain: Stochastic Shapley Values for Gaussian Process Models"
dair-ai/ML-Papers-of-the-Week
🔥Highlighting the top ML papers every week.