Lists (7)
Stars
An implementation of the minimum description length principal expert binning algorithm by Usama Fayyad
Nonlinear time series analysis in R
🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps
We propose a density-based estimator for weighted geodesic distances suitable for data lying on a manifold of lower dimension than ambient space and sampled from a possibly nonuniform distribution
A simple library for t-SNE animation and a zoom-in feature to apply t-SNE in that region
TLDR is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectiveness of recent self-supervised learning losses
CellRank: dynamics from multi-view single-cell data
(weighted) dynamic time warping
An implementation of soft-DTW divergences.
An academic project to introduce Dynamic Time Warping (DTW) distance into Matrix Profile.
ProbLog is a Probabilistic Logic Programming Language for logic programs with probabilities.
This curated list contains python packages for time series analysis
Collection of useful resources to understand neural manifold and their applications in Neuroscience.
Mapping out the coarse-grained connectivity structures of complex manifolds.
Codebase for PRESCIENT (Potential eneRgy undErlying Single Cell gradIENTs) for generative modeling of single-cell time-series.
Dynamic Time Warping in Python / C (using ctypes)
A GP-GPU/CPU Dynamic Time Warping (DTW) implementation for the analysis of Multivariate Time Series (MTS).
[NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)
STUMPY is a powerful and scalable Python library for modern time series analysis
Code for the manim-generated scenes used in 3blue1brown videos