A meta-analysis package for R
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Updated
Dec 16, 2025 - R
A meta-analysis package for R
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.
A Browser-Based Multivariate Time-Series Forecast Playground Powered by XGBoost.
Recursive Partitioning for Structural Equation Models
Multivariate pattern analysis for neuroscience with full GPU support in python.
Compute scagnostics on your scatterplots
A Browser-Based Multivariate Time-Series Forecast Playground Powered by CART.
Complex / 2d multivariate bivariate colormap / Domain coloring for Matplotlib, Plotly etc. (pure-numpy)
Bayesian network analysis in R
A repository of our work for the Data Mining competition held by Intelecta Cup, Telkom University 2025
A repository of our work for the Data Science Competition held by Gelar Rasa, UPN Veteran Jawa Timur 2025
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
Hierarchical Climate Regionalization
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.
A modern Fortran statistical library.
Meshed GP for Bayesian spatial big data regression
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