[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

Additional linear models including instrumental variable and panel data models that are missing from statsmodels.

A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.

LinearBoost Classifier is a rapid and accurate classification algorithm that builds upon a very fast, linear classifier.

Input Output Hidden Markov Model (IOHMM) in Python

Spells for everyday living. (also a book coming out in 2025)

Python library to implement advanced trading strategies using machine learning and perform backtesting.

Python Tools to Practically Model and Solve the Problem of High Speed Rotor Balancing.

Library for machine learning where all algorithms are implemented from scratch. Used only numpy.

Calibrate and simulate linear propagator models for the price impact of an extrinsic order flow.

Specification language for generating Generalized Linear Models (with or without mixed effects) from conceptual models

Computation of training set (X^T * X) and (X^T * Y) in a cross-validation setting using the fast algorithms by Engstrøm (2024).

[WSDM'25] "Temporal Linear Item-Item Model for Sequential Recommendation"

Repository for the AugmentedPCA Python package.

Student performace prediction using SVM and BKT

Models to estimate the hardware cost of FPGA based implementations of CNNs

CoBMo - Control-oriented Building Model

Prevalidated ridge regression is a highly-efficient drop-in replacement for logistic regression for high-dimensional data

An implementation (sklearn API) of Model Agnostic Supervised Local Explanation (MAPLE) by Plumb et al. and reproduction of "accuracy" experiments.

Implementation on Pyomo of Distribution Expansion Planning Model proposed by Muñoz-Delgado et al. (2014).