A music theory library for Javascript
A Parser for CSS Files written in PHP. Allows extraction of CSS files into a data structure, manipulation of said structure and output as (optimized) CSS
A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
pg_timetable: Advanced scheduling for PostgreSQL
Converts CSS styles into inline style attributes in your HTML code.
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
PHP's time range API
An extension of XGBoost to probabilistic modelling
:ghost: Utilities for analyzing Bayesian models and posterior distributions
A Kotlin Multiplatform app that helps users enhance their productivity and time management skills through focused work intervals and short breaks.
portion, a Python library providing data structure and operations for intervals.
Large collection of number systems providing custom arithmetic for mixed-precision algorithm development and optimization for AI, Machine Learning, Computer Vision, Signal Processing, CAE, EDA, control, optimization, estimation, and approximation.
The open source trading statistics engine. Ask P(outcome | conditions) over your own bars: gap fills, ORB, initial balance, prior levels, seasonality, and anything you can compose. Sample sizes and 95% confidence intervals on every number. Local dashboard, CLI, and MCP server. MIT, no telemetry. By LuxAlgo.
Evidence-aware multi-engine mathematics runtime for LLMs: exact, symbolic, formal, certified-interval and numeric computation with typed MathIR, trust labels, and full provenance
A config-driven terminal dashboard built on Bubble Tea β one YAML file defines sources (shell commands on an interval) and layout (rows of widgets).
Interval Ear Trainer 2026: Mobile-Friendly Web App for Musicians to Master Musical Intervals
Ultimate Interval Ear Trainer 2026: Master Chord Recognition on Your Instrument
Best Music Ear Training Tool 2026: Master Intervals Fast on Mobile
Multi-agent reinforcement learning in a macroeconomic environment, with V-learning and bootstrap confidence intervals for government policy parameters.
Puts back what Garmin strips from the FIT files it sends to Intervals.icu - and syncs the wellness data the official sync misses
Integer multiplication below n log n: a conditional witness kappa = 6685733/10^10 (> 2^-11) for T(n) = O(n (log n)^(1-kappa)) in the multitape model, building on OpenAI's problem and Colkitt's integer-mult-bounds: certificates, independent replays, Lean 4 checks