A collection of awesome papers, articles and various resources on credit and credit risk modeling
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Updated
Feb 1, 2024
A collection of awesome papers, articles and various resources on credit and credit risk modeling
Regression Graph Neural Network (regGNN) for cognitive score prediction.
An implementation of the state-of-the-art Deep Active Learning algorithms
[ICLR 2023] Code for our paper "Selective Annotation Makes Language Models Better Few-Shot Learners"
Reference implementation of the Distance-Based Boolean Applicability Domain for HTS datasets
netNorm (network normalization) framework for multi-view network integration (or fusion), recoded up in Python by Ahmed Nebli.
Residual Embedding Similarity-based Network Selection (RESNets) for forecasting network dynamics.
Code release for ``Towards Discovering the Effectiveness of Moderately Confident Samples for Semi-Supervised Learning'' published in CVPR 2022.
Sample selection method for Rayleigh wave dispersion curve inversion using neural networks - 1D S-wave velocity profile retrieval
We provide both Matlab and Python versions of netNorm. In this folder you find the Maltab version of the code.
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