A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputatio…

A library imlementing a graph neural network with sparse representation from Code for Kazeev, N., Al-Maeeni, A.R., Romanov, I. et al. Sparse representation for machine learning the properties of de…

Conditional generative models for tabular data with sklearn-like interface

Random Forests for Change Point Detection

100 Days of ML Coding

Roerich is a python library of change point detection algorithms for time series.

Курс "Современные методы машинного обучения" на майноре ИАД

SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.

Materials for course "Data Analysis" for Software Engineering in HSE

Notebooks

Continual Learning for Infinite Hierarchical Change-Point Detection

A Python Package for Density Ratio Estimation

Python coverage example