🌈 A simple set of utility functions for colours.
Causal Discovery in Python. Learning causality from data.
The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).
A versatile JavaScript library that automatically generates visually pleasing and customizable color palettes from a given base color. Whether you're building data visualizations, UIs, or design systems, Möbius offers various harmony modes, smooth interpolation, luminance shifts, and diverging palette generation
A computational framework for tetrad-based genotyping & recombination landscape analysis
LiveCode Script library for small and fast color manipulation and conversion.
A Powerful Python Library for Causal Inference
I’ve developed a long-running project specifying a deterministic, 12-bit abstract machine architecture and formal ontology. It’s built as an executable state machine with a 12-opcode instruction set, combinatorial registers, and strict relational constraints. Are you open to reviewing a technical specification for an unorthodox formal state engine?
Java based implementation of an MLE method using chi square test to calculate interference during meiotic crossover (the number of double strand dna breaks that don't result in a crossover)
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