simulkade
Follow
Lists (17)
atmosphere
Bayesian
carbon_capture
energy
Energy systems, conversion, storage, transport and datagraphs
LCIA
meshing
meshing tools for PDE solverML
optimization
python-database
python-package
python-visualization
solvers
symbolic regression
libraries and tools for symbolic regression, i.e. finding equations that fir datathermo
All the cool thermodynamic packages developed by very smart peoplewater
water flow on the landwebapp
Stars
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
A sample project that exists for PyPUG's "Tutorial on Packaging and Distributing Projects"
Solver for two-dimensional conservation equations using the finite volume method in Julia.
Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable i…
Create web-based user interfaces with Python. The nice way.
Automatic Finite Difference PDE solving with Julia SciML
An algebraic spin on grammar-of-graphics data visualization in Julia. Powered by the Makie.jl plotting ecosystem.
Simple geographical vector interaction built on top of ArchGDAL
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
An open-access book on numpy vectorization techniques, Nicolas P. Rougier, 2017
GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation da…
Citation Manager for JupyterLab using Zotero Web API
Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
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 a…
Matplotlib tutorial for beginner
Adaptive multiphase flow through porous media
😎 Curated list of awesome software for numerical analysis and scientific computing