diffeqpy
csvzip
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diffeqpy | csvzip | |
---|---|---|
4 | 1 | |
482 | 11 | |
2.9% | - | |
7.7 | 0.0 | |
10 days ago | almost 4 years ago | |
Python | Crystal | |
MIT License | MIT License |
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diffeqpy
- ‘Machine Scientists’ Distill the Laws of Physics from Raw Data
- Is it possible to create a Python package with Julia and publish it on PyPi?
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Julia vs R/Python
10-100x speed increase was not an exaggeration for me. With julia I was able to run things quickly on my own machine which I had been running on a compute cluster. I agree that numba could be just as fast as julia. I also just saw that you can run that DE library from julia that I like so much from python using this package. https://github.com/SciML/diffeqpy
csvzip
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Julia vs R/Python
Some people are simply converting traditional Python libraries to Crystal to get a performance boost (even for 'simpler' things like csvzip).
What are some alternatives?
DifferentialEquations.jl - 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.
ModelingToolkit.jl - An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
DiffEqSensitivity.jl - A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, and more for ODEs, SDEs, DDEs, DAEs, etc. [Moved to: https://github.com/SciML/SciMLSensitivity.jl]
DiffEqBase.jl - The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
PySR - High-Performance Symbolic Regression in Python and Julia
FunctionalModels.jl - Equation-based modeling and simulations in Julia
python-bigsimr
db-benchmark - reproducible benchmark of database-like ops
crystal - The Crystal Programming Language
ModelingToolkitStandardLibrary.jl - A standard library of components to model the world and beyond
auto-07p - AUTO is a publicly available software for continuation and bifurcation problems in ordinary differential equations originally written in 1980 and widely used in the dynamical systems community.
Causal.jl - Causal.jl - A modeling and simulation framework adopting causal modeling approach.