vboussange / jaxscapeLinks
A minimal JAX library for connectivity modelling at scale
☆10Updated last week
Alternatives and similar repositories for jaxscape
Users that are interested in jaxscape are comparing it to the libraries listed below
Sorting:
- A Review of Sensitivity Methods for Differential Equations☆33Updated last year
- Physics-Enhanced Regression for Initial Value Problems☆20Updated last year
- Taylor-mode automatic differentiation for higher-order derivatives☆81Updated 3 weeks ago
- Checkpointing for Automatic Differentiation☆60Updated this week
- Comparsion of Julia's GPU Kernel based ODE solvers with other open-source GPU ODE solvers☆28Updated last year
- Inverse modelling framework for dynamical systems characterised by complex dynamics.☆13Updated 2 months ago
- Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks☆59Updated 9 months ago
- Fast uncertainty quantification for scientific machine learning (SciML) and differential equations☆71Updated 3 weeks ago
- A Julia package to construct orthogonal polynomials, their quadrature rules, and use it with polynomial chaos expansions.☆124Updated this week
- Structure Preserving Machine Learning Models in Julia☆54Updated last week
- Training materials for ModelingToolkit and JuliaSim☆38Updated 3 years ago
- DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia☆29Updated 2 weeks ago
- No need to train, he's a smooth operator☆45Updated 2 weeks ago
- Lectures, code and material for the Modelling and Machine Learning of Dynamical Systems in Julia lecture at Technical University Munich☆15Updated 5 months ago
- Machine learning from scratch in Julia☆33Updated 10 months ago
- A Julia package for Deep Backwards Stochastic Differential Equation (Deep BSDE) and Feynman-Kac methods to solve high-dimensional PDEs wi…☆83Updated this week
- Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing☆130Updated 2 weeks ago
- Implicit Layer Machine Learning via Deep Equilibrium Networks, O(1) backpropagation with accelerated convergence.☆59Updated 3 weeks ago
- ParameterEstimation.jl is a Julia package for estimating parameters and initial conditions of ODE models given measurement data.☆31Updated 2 weeks ago
- A library of systems of partial differential equations, as defined with ModelingToolkit.jl in Julia☆28Updated 2 weeks ago
- ☆46Updated this week
- Workshop materials for training in scientific computing and scientific machine learning☆39Updated this week
- Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia☆28Updated last week
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆21Updated last year
- Manage your Julia dependencies from Python☆63Updated last month
- Implementation of normalizing flows compatible with Bijectors.jl☆43Updated last month
- A light-weight library to help you create better plots for scientific publications, by taking care of the annoying bits like figure size,…☆52Updated 6 months ago
- Julia implementation of the Kolmogorov-Arnold network with custom gradients for fast training.☆82Updated last month
- Learning to optimize (L2O) package that provides basic functionalities to help fit proxy models for optimization.☆15Updated 8 months ago
- StateSpaceLearning.jl is a Julia package for time-series analysis using state space learning framework.☆20Updated 4 months ago