influence-functions topic
pytorch_influence_functions
This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence Functions by Pang Wei Koh and Percy Liang.
influence_boosting
Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"
Influence_Subsampling
Official Implementation of Unweighted Data Subsampling via Influence Function - AAAI 2020
InfluenceCL
[CVPR 2023] Regularizing Second-Order Influences for Continual Learning
pyDVL
pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation
ProGen
[EMNLP-2022 Findings] Code for paper “ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback”.
D-TRAK
Intriguing Properties of Data Attribution on Diffusion Models (ICLR 2024)
torch-influence
A simple PyTorch implementation of influence functions.
tree_influence
Influence Estimation for Gradient-Boosted Decision Trees
influenciae
👋 Influenciae is a Tensorflow Toolbox for Influence Functions