A collection of math-from-scratch projects in linear algebra and multivariate calculus, built without high-level libraries. Includes hand-derived formulas, custom implementations, and visualizations like 3D surfaces, contour maps, and transformations. Designed to show real mathematical understanding behind ML, not just button-pressing in Python.

Multivariate pattern analysis for neuroscience with full GPU support in python.

Complex / 2d multivariate bivariate colormap / Domain coloring for Matplotlib, Plotly etc. (pure-numpy)

Multivariate stock price prediction using LSTM networks with Optuna hyperparameter tuning and Captum interpretability. Trains on 60-day sliding windows across 442 companies to forecast next-day prices and visualize feature/time-step importance.

Multivariate Unimodality Testing

Multivariate Adaptive Kernel Density Estimation using Gaussian Mixture Model

A Novel Multivariate Bi-LSTM model for Short-Term Equity Price Forecasting

A Python library for fitting and sampling vine copulas using PyTorch.

Predictor that uses a configurable plugin-based predictive supervised learning model, to make forecasts for a configurable time horizon in a timeseries, using heterogeneus multivariate timeseries data as input, the input data needs to be aligned with the timeseries to be used as training signals. Includes 4 built-in deep-learning predictive models.

Multivariate Latent Recalibration for Conditional Normalizing Flows

Jax based probability modelling

A Python library designed for the representation and manipulation of multivariate polynomial matrices.

Python toolbox for analyzing imaging data

This is the implementation of the paper Enhanced Photovoltaic Power Forecasting: An iTransformer and LSTM-Based Model Integrating Temporal and Covariate Interactions

A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.

python package implementing a multivariate Horner scheme for efficiently evaluating multivariate polynomials

Scikit-Learn compatible HMM and DTW based sequence machine learning algorithms in Python.

Several examples of multivariate techniques implemented in R, Python, and SAS. Multivariate concrete dataset retrieved from https://archive.ics.uci.edu/ml/datasets/Concrete+Slump+Test. Credit to Professor I-Cheng Yeh.

Flexible time series feature extraction & processing

This is a price uni and multivariate forecasting of collectible assets indices using ARIMA models