A high-performance library for compressed ndarrays, with a flexible computational engine
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Updated
Jul 30, 2025 - Python
A high-performance library for compressed ndarrays, with a flexible computational engine
(e2e) foss trading for non-tinas
Braincraft challenge — 1000 neurons, 100 seconds, 10 runs, 2 choices, no reward
Open schemas for F.A.I.R. neuroscience data
Boolean Hypervectors with various operators for experiments in hyperdimensional computing (HDC).
Methods of numerical modelling with undergraduate level computational physics solutions with non-linear equations, gaussian probabilities, and Euler RK4 integration
ENCORE: Enhancing Computational Reproducibility
latentcor is a Python package provides estimation for latent correlation with mixed data types (continuous, binary, truncated and ternary).
Full datasets and simulation code for the manuscript "Short- and long-range connections differentially modulate the small-world network’s dynamics and state"
An Easy Way to Setup JupyterLab on Heroku
Implementing data structures and algorithms towards the goal of fast Fréchet Matching queries in geometric trees.
Probability expression representation and calculation library
Computational tool for modeling soot
Computational Modeling Libraries
Weiszfeld's algorithm to build optimal parametrized spatial networks
QuestionnaireEmbeddingsAnalysis - innovative approach to extracting richer information from clinical survey
Solutions of common Computational geometry problems
LEAPS 2017 Project repo: Simulating the formation of the Oort Cloud
A tool for analyzing word counts of the Project Gutenberg text collection. Used in research reformulating the Zipf-Mandelbrot law.
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