Mathematical tools (interpolation, dimensionality reduction, optimization, etc.) written in C++11 with Eigen
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Updated
Apr 10, 2022 - C++
Mathematical tools (interpolation, dimensionality reduction, optimization, etc.) written in C++11 with Eigen
Deep Learning sample programs using PyTorch in C++
Hierarchical Uniform Manifold Approximation and Projection
Fast and precise comparison of genomes and metagenomes (in the order of terabytes) on a typical personal laptop
Noise-Contrastive Visualization
Explaining dimensionality results using SHAP values
Online feature-extraction and classification algorithm that learns representations of input patterns.
Reducing Dimensionality method for Nearest Neighbor Search
Progressive Uniform Manifold Approximation and Projection (EuroVis 2020 short)
A library for diffusion maps (Numerical software development project)
Kernel Dimension Reduction with RcppArmadillo
Comparison of multiple methods for calculating MNIST hand-written digits similarity.
FentonLab's WClust software used for spike sorting
Autoencoder dimensionality reduction, EMD-Manhattan metrics comparison and classifier based clustering on MNIST dataset.
Implementations of Fair-NeRV/Fair-t-NeRV
Implementation of clustering algorithms and optimizations in C++. Benchmarked on the MNIST handwritten digit dataset
LargeVis, a C++ program for visualizing high-dimensional data
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