There are 3 repositories under data-sampling topic.
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
Microarchitectural exploitation and other hardware attacks.
TIP2022 Adaptive Boosting (AdaBoost) for Domain Adaptation ? :woman_shrugging: Why not ! :ok_woman:
Implémentation d'un modèle de scoring (OpenClassrooms | Data Scientist | Projet 7)
Adaptive data sampling and transmission in a wireless sensor node as a function of energy reserves
Here is Task 5: Credit card fraud detection using machine learning, for my data science internship with Codsoft
Code and Data for paper: Variation across Scales: Measurement Fidelity under Twitter Data Sampling (ICWSM '20)
Process of data preparaton in R.
A method for sampling a balanced dataset from biased signals by leveraging statistical distributions derived from the data.