Confound-isolating cross-validation approach to control for a confounding effect in a predictive model.
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Updated
Aug 30, 2019 - Python
Confound-isolating cross-validation approach to control for a confounding effect in a predictive model.
This project investigates if and how systematic subsampling can be applied to imbalanced learning.
SkipGram NegativeSampling implemented in PyTorch.
Official Implementation of Unweighted Data Subsampling via Influence Function - AAAI 2020
Codes for the experiments in "Subsampling Generative Adversarial Networks: Density Ratio Estimation in Feature Space with Softplus Loss"
Douglas-Peucker line simplification
Subsample 10^8 points in 10 seconds
Partial port of https://github.com/davemorrissey/subsampling-scale-image-view library to Jetpack Compose.
OBS Subsampling Detector
Tool for group biology estimation in single-cell RNAseq data
A subsampling method for large-scale SARS-CoV-2 genome data sets
Efficient Subsampling of Realistic Images From GANs Conditional on a Class or a Continuous Variable
A Python program that compresses raw images based on the JPEG compression algorithm.
SYLENS: Sampling Yielding LEss Noticeable Samples
Repository associated with 2024 GECCO paper submission.
ASAP - A Sub-sampling Approach for Preserving Topological Structures
Image Processing Sem 8
Subsampling Methods Based on Experimental Design
Randomly subsample sequencing reads or alignments
sFRC: To identify fakes in medical images reconstructed using AI
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