Tools for controlling full disk encryption

TRAMP integration for docker containers

Multiagent models built using netlogo

ML models + benchmark for tabular data classification and regression

Gradient Boosting Modules for pytorch

Textbook on Bayesian Data Analysis for Cognitive Science, Nicenboim, Schad, Vasishth

All data and functions needed for the book "That's weird: anomaly detection using R" by Rob J Hyndman <https://OTexts.com/weird>

R package for Bayesian model averaging

Functional Data Analysis using Square-Root Slope Framework

Estimate the number of factors in large nonstationary datasets

Simultaneously identify latent group structures and estimate group-specific coefficients in (time-varying) panel data models

Python package for conformal prediction

A Python toolbox for conformal prediction research on deep learning models, using PyTorch.

Conformal Locally Valid interval-Estimates for Regression

Conformal random forests in R

XLabel: An Explainable Data Labeling Assistant

Create sparse and accurate risk scoring systems!

Implementations of three forecasting models: SSAE, S2S1 and S2S2 in Tensorflow2

A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.

This repository includes replication code and raw data used in the construction of the Global Macro Database.

Rough Set Python Package is a Python library that provides a set of tools to calculate rough sets and obtain reduct rules.

OptaPy is an AI constraint solver for Python to optimize planning and scheduling problems.

Midstream of https://github.com/apache/incubator-kie-optaplanner

PRML algorithms implemented in Python

Technical analysis and other functions to construct technical trading rules with Python

Build and share data reports in 100% Python

Multi Task Learning Time Series Momentum

Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering

Project that uses deep learning to forecast stock returns and defines the optimal allocation for a maximum