Computationally efficient rolling window iterators for Python (sum, variance, min/max, etc.)

R package cross-validation, bootstrap, permutation, and rolling window resampling techniques for the tidyverse.

Command line tool to plot genomic coverage from a BAM file

Store your data efficiently in rolling window buckets store, written in pure JS.

Aggregation of associative operators over rolling windows.

Web scraping and forecasting prices on 20 years of data

Standard Deviations, Rolling Windows, Beta, Sharpe Ratios, Weighted Returns. Portfolio comparisons.

Predicting orders for Glovo

Yet another rolling window rate limiter.

This repository contains an end‑to‑end machine learning workflow for forecasting weather conditions using a Kaggle dataset focused on Indian meteorological data. This project includes data preprocessing, exploratory analysis, feature engineering, model training, evaluation, and forecasting using classical ML techniques.

Forecasting Devaluation Events in Latin American Countries Using Google Trends Data

A zero-dependency, fail-fast circuit breaker for promises.

ML pipeline for commodity price forecasting — comparing statistical, machine learning and deep learning models across 5 commodities and 3 time horizons. Experimenting with hybrid approach (statistical-ML).

Another rolling window implementation written in go

Exploratory analysis of Bitcoin OHLCV with business‑framed insights and anomaly detection.

High-performance rolling window statistics for Python and R - rolling regression, correlation matrices and more.

rolling statistics benchmark

Average CPU Usage -Desktop app that measures average CPU usage and uses sliding window to check for new processes and outputs all values in table

A study about the performance of Short-Time Fourier Transform (STFT) against Rolling Standard Deviation in terms of Volatility Regime Identification of The Philippine Stock Exchange Index (PSEI)