vboussange / jaxscape
A minimal JAX library for connectivity analysis at scales
☆10Updated 3 weeks ago
Alternatives and similar repositories for jaxscape
Users that are interested in jaxscape are comparing it to the libraries listed below
Sorting:
- Inverse modelling framework for dynamical systems characterised by complex dynamics.☆13Updated 4 months ago
- Coloring algorithms for sparse Jacobian and Hessian matrices☆24Updated last week
- Taylor-mode automatic differentiation for higher-order derivatives☆79Updated last month
- A Review of Sensitivity Methods for Differential Equations☆31Updated 5 months ago
- Lectures, code and material for the Modelling and Machine Learning of Dynamical Systems in Julia lecture at Technical University Munich☆12Updated last week
- Machine learning from scratch in Julia☆31Updated 2 months ago
- Signal logging and scoping for DifferentialEquations.jl simulations.☆23Updated 2 weeks ago
- Rejection-free, non-reversible, and continuous-time Hamiltonian dynamics sampler☆11Updated 3 weeks ago
- Physics-Enhanced Regression for Initial Value Problems☆20Updated last year
- No need to train, he's a smooth operator☆44Updated 5 months ago
- Learning to optimize (L2O) package that provides basic functionalities to help fit proxy models for optimization.☆14Updated last month
- Checkpointing for Automatic Differentiation☆53Updated this week
- ☆19Updated last year
- Workshop materials for training in scientific computing and scientific machine learning☆38Updated last year
- Comparsion of Julia's GPU Kernel based ODE solvers with other open-source GPU ODE solvers☆25Updated last year
- Julia implementation of stochastic optimization algorithms for large-scale optimal transport.☆17Updated 3 years ago
- ParameterEstimation.jl is a Julia package for estimating parameters and initial conditions of ODE models given measurement data.☆27Updated last month
- ☆13Updated 6 months ago
- A library of systems of partial differential equations, as defined with ModelingToolkit.jl in Julia☆28Updated 9 months ago
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆21Updated 9 months ago
- Backward-filtering forward-guiding with StochasticDiffEq.jl☆12Updated last year
- Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia☆27Updated this week
- ☆33Updated last month
- Total Variation Regularized Numerical Differentiation☆37Updated last year
- A pure Julia translation of the Arpack library for eigenvalues and eigenvectors but for any numeric types. (Symmetric only right now)☆25Updated last year
- ☆19Updated last year
- A comprehensive collection of 30+ recurrent neural network layers for Flux.jl☆20Updated this week
- Ecosystem for writing partial differential equation solvers☆14Updated 3 months ago
- Weight Initialization Schemes for Deep Learning Frameworks☆10Updated 6 months ago
- Integrating Neural Ordinary Differential Equations, the Method of Lines, and Graph Neural Networks☆18Updated last year