A collection of awesome papers, articles and various resources on credit and credit risk modeling

[ICLR 2023] Code for our paper "Selective Annotation Makes Language Models Better Few-Shot Learners"

An implementation of the state-of-the-art Deep Active Learning algorithms

Regression Graph Neural Network (regGNN) for cognitive score prediction.

Code release for ``Towards Discovering the Effectiveness of Moderately Confident Samples for Semi-Supervised Learning'' published in CVPR 2022.

Reference implementation of the Distance-Based Boolean Applicability Domain for HTS datasets

We provide both Matlab and Python versions of netNorm. In this folder you find the Maltab version of the code.

netNorm (network normalization) framework for multi-view network integration (or fusion), recoded up in Python by Ahmed Nebli.

Sample selection method for Rayleigh wave dispersion curve inversion using neural networks - 1D S-wave velocity profile retrieval

Residual Embedding Similarity-based Network Selection (RESNets) for forecasting network dynamics.