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Similarity and distance measures for clustering and record linkage applications in R
A Python package for efficient evaluation based on OASIS (Optimal Asymptotic Sequential Importance Sampling).
A Python package which implements the Elastic Net using the (accelerated) proximal gradient method.
A Python package for pool-based active evaluation
Clustering and Link Prediction Evaluation in R
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Code and experiments for our ICLR'26 submission on consistent surrogates for disagreement discrepancy
VSCode extension to batch rename files and folders with a simple right-click
Diverse CTC Beam Search Decoder for PyTorch based on Paddle Paddle's implementation
A Python package which implements the Elastic Net using the (accelerated) proximal gradient method.
Similarity and distance measures for clustering and record linkage applications in R
No description provided.
A Python package for efficient evaluation based on OASIS (Optimal Asymptotic Sequential Importance Sampling).
No description provided.
Scripts for reproducing the experiments in our JSSAM article on Bayesian Graphical Entity Resolution
A Python package for pool-based active evaluation
Clustering and Link Prediction Evaluation in R
Code for the paper "Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation" by Alexander Levine and Soheil Feizi.
No description provided.
Scripts for reproducing experiments in Marchant & Rubinstein (2021)
Pre-processing script for data from the Survey of Household Income and Wealth
Statistical machine learning at the University of Melbourne