Posthog🦔 PostHog provides open-source product analytics that you can self-host.
NaosA mildly opiniated modern cloud service architecture blueprint + reference implementation
Machine-Learning-for-Asset-ManagersImplementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.
tunetaIntelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models
TreeCorrCode for efficiently computing 2-point and 3-point correlation functions. For documentation, go to
CorBinianCorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations
mcorrInferring bacterial recombination rates from large-scale sequencing datasets.
DGCADifferential Gene Correlation Analysis
ANCOMBCDifferential abundance (DA) and correlation analyses for microbial absolute abundance data
CorrelationLayerPure Pytorch implementation of Correlation Layer that commonly used in learning based optical flow estimator
msdaLibrary for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector
flow1d[ICCV 2021 Oral] High-Resolution Optical Flow from 1D Attention and Correlation
xmcaMaximum Covariance Analysis in Python