🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.
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🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.
Imaging, analysis, and simulation software for radio interferometry
Model-rocketry aerodynamics and trajectory simulation software
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
OCCT is an open-source software development platform for 3D CAD, CAM, CAE.
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
Implementation of papers in 100 lines of code.
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.
SCENIC is an R package to infer Gene Regulatory Networks and cell types from single-cell RNA-seq data.
PyKEP is a scientific library providing basic tools for research in interplanetary trajectory design.
One open-source modeler for structures, heat and fluids, built from scratch in pure Rust: parametric part in, verified results out. Automatic all-hex and tet meshing, our own nonlinear implicit and explicit FEA, heat transfer and lattice Boltzmann CFD — every result checked against theory. For engineers and AI agents alike. Free, forever.
OpenAeroStruct is a lightweight tool that performs aerostructural optimization using OpenMDAO.
Interactive 2D wave optics simulator. Turn any image into a refractive scene, add sources, watch waves refract, diffract and interfere. Probes, intensity maps, video export.
Learning cell communication from spatial graphs of cells
A implementation of Shor's algorithm written in Python calling Q# for the quantum part
Computer Algebra for microcontrollers using https://github.com/micropython/micropython
Generative models for transcriptomic-driven or protein-driven molecular design (PaccMann^RL).
DeepAEG: A model for predicting cancer drug response based on data enhancement and edge-collaborative update strategies