Price calculator/predictor for Turnip prices

Python module which allows you to specify timeouts when calling any existing function, and support for stoppable threads

Create agents that monitor and act on your behalf. Your agents are standing by!

A MTP Server implementation for Nintendo Switch

EDGE: Scalable and optimum mutual information estimator for high-dimensional applications including deep learning

The Python implementation of "Graph Divergence Measure"

Kernel Conditional Independence Permutation Test

MGCPY WILL NO LONGER BE UPDATED. THE NEW REPO CAN BE FOUND HERE:

A decision-tree based conditional independence test.

A deep-learning-based conditional independence test that works for big, high-dimensional data.

The Randomized Conditional Independence Test (RCIT) and the Randomized conditional Correlation Test (RCoT)

Non-parametric Entropy Estimation Toolbox

Classifier Conditional Independence Test: A CI test that uses a binary classifier (XGBoost) for CI testing

Classifier based mutual information, conditional mutual information estimation; conditional independence testing

R.E.A.L. mod - VR enabler for Grand Theft Auto V

MINE: Mutual Information Neural Estimation in pytorch (unofficial)

Create handouts from compiled latex beamer presentations by removing slides.

Google SRE Book Generator (EPUB/MOBI/PDF).

Notetaking software designed around a tablet. A C++ rewrite of Xournal. Moved from Sourceforge. Check out the legacy branch if libpoppler<0.16 on your system. The development branch has the newest …

A load-balanced, lock-free implementation of the PC-algorithm for causal inference from high-dimensional data.

Provides the Web Application of MPCSL - A Modular Pipeleine for Causal Structure Learning.

data-knoller is a library to provide data preparation on user-specified dataset.

The HackHPI website

Code for the Akka tutorial

A Modular Pipeline for Causal Structure Learning called MPCSL.

List of AI Residency Programs

Hardware Optimization Benchmarks for Lecture Trends and Concepts I