SciML / PDERoadmapLinks
A repository for the discussion of PDE tooling for scientific machine learning (SciML) and physics-informed machine learning
☆18Updated 5 years ago
Alternatives and similar repositories for PDERoadmap
Users that are interested in PDERoadmap are comparing it to the libraries listed below
Sorting:
- Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions☆60Updated 5 months ago
- Automatic detection of sparsity in pure Julia functions for sparsity-enabled scientific machine learning (SciML)☆58Updated 3 years ago
- ☆29Updated 5 years ago
- A Julia package for representing block-banded matrices and banded-block-banded matrices☆62Updated 2 months ago
- DynamicHMC versions of StatisticalRethinking models☆18Updated last year
- Base package for optimization and equation solver software in JuliaNLSolvers☆32Updated last month
- The SciML Scientific Machine Learning Software Organization Website☆59Updated 2 weeks ago
- Comparing performance and results of mcmc options using Julia☆38Updated 3 years ago
- Stochastic delay differential equations (SDDE) solvers for the SciML scientific machine learning ecosystem☆28Updated 2 months ago
- A statistical toolbox for diffusion processes and stochastic differential equations. Named after the Brownian Bridge.☆112Updated 3 years ago
- A package to download free books from Springer using Julia☆26Updated 5 years ago
- Create ensembles of machine learning models from scikit-learn, caret, and julia☆42Updated 5 years ago
- Common interface bindings for the MATLAB ODE solvers via MATLAB.jl for the SciML Scientific Machine Learning ecosystem☆20Updated last year
- Julia workshop with a focus on understandable performance☆49Updated 3 years ago
- Materials for MIT class 6.S083 / 18.S190, fall 2019☆42Updated 5 years ago
- A Julia package for Deep Backwards Stochastic Differential Equation (Deep BSDE) and Feynman-Kac methods to solve high-dimensional PDEs wi…☆80Updated 6 months ago
- A simple domain-specific language (DSL) for defining differential equations for use in scientific machine learning (SciML) and other appl…☆77Updated last week
- Why multiple dispatch lets you write composable code☆40Updated 4 years ago
- Inference for diffusion processes with the use of `Guided Proposals`☆16Updated 4 years ago
- Lecture slides and homework assignments for MA3227 Numerical Analysis II at the National University of Singapore.☆24Updated 4 years ago
- ☆41Updated 8 years ago
- Algorithms for optimization of Julia expressions☆45Updated 10 months ago
- ☆24Updated 8 years ago
- A Julia package to contain non-standard matrix factorizations☆18Updated 4 months ago
- Piecewise Deterministic Markov Processes in Julia☆20Updated 2 months ago
- Statistical Models with Regularization in Pure Julia☆40Updated 3 years ago
- Delay coordinates embeddings and optimizing them☆30Updated 3 months ago
- ☆13Updated 4 years ago
- Nonlinear eigenvalue problems in Julia: Iterative methods and benchmarks☆94Updated last year
- A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations☆76Updated 3 weeks ago