sample-selection

xlang-ai/icl-selective-annotation

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

cure-lab/deep-active-learning

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

basiralab/RegGNN

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

huitangtang/GSF-PPF

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

UnixJunkie/hts_shrink

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

basiralab/netNorm

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

basiralab/netNorm-PY

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

basiralab/RESNets

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

X-H-Yang/Sample-selection-Rayleigh-wave-neural-network-inversion

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

ensiyeKiya/FedDyS

NOAA-Fisheries-OST-ST1/Sample_Draw_Replication