utkarsh530 / GPUODEBenchmarksLinks
Comparsion of Julia's GPU Kernel based ODE solvers with other open-source GPU ODE solvers
☆27Updated last year
Alternatives and similar repositories for GPUODEBenchmarks
Users that are interested in GPUODEBenchmarks are comparing it to the libraries listed below
Sorting:
- ☆34Updated last month
- Taylor-mode automatic differentiation for higher-order derivatives☆80Updated last month
- Manage your Julia dependencies from Python☆60Updated last week
- A light-weight library to help you create better plots for scientific publications, by taking care of the annoying bits like figure size,…☆51Updated 3 months ago
- pure Julia package for optimal histogram binning, based on piecewise constant model.☆43Updated 2 years ago
- Structure Preserving Machine Learning Models in Julia☆50Updated 3 weeks ago
- ParameterEstimation.jl is a Julia package for estimating parameters and initial conditions of ODE models given measurement data.☆30Updated this week
- A julia implementation of the CMA Evolution Strategy for derivative-free optimization of potentially non-linear, non-convex or noisy func…☆31Updated 2 years ago
- A common framework for implementing and using log densities for inference.☆44Updated 4 months ago
- Fast operator-overloading Jacobian & Hessian sparsity detection.☆50Updated last week
- Julia MathML parser☆25Updated last week
- A library of systems of partial differential equations, as defined with ModelingToolkit.jl in Julia☆28Updated last month
- Signal logging and scoping for DifferentialEquations.jl simulations.☆23Updated 4 months ago
- Stochastic delay differential equations (SDDE) solvers for the SciML scientific machine learning ecosystem☆28Updated last week
- Julia math built-ins which return NaN and accumulator functions which ignore NaN☆55Updated last month
- Checkpointing for Automatic Differentiation☆56Updated this week
- Implementation of normalizing flows compatible with Bijectors.jl☆42Updated 3 weeks ago
- Coloring algorithms for sparse Jacobian and Hessian matrices☆27Updated last week
- Preheat your MCMC☆79Updated this week
- Julia workshop with a focus on understandable performance☆49Updated 3 years ago
- A Julia repository for linear algebra with infinite matrices☆34Updated last month
- ☆33Updated 4 months ago
- ☆81Updated 6 months ago
- Fast symbolic derivatives of runtime-generated expressions☆39Updated last month
- LieGroups.jl – Lie groups and Lie algebras☆41Updated this week
- Use Optim to train Flux models and visualize loss landscapes☆60Updated last year
- Differentiate python calls from Julia☆55Updated 3 years ago
- Machine learning from scratch in Julia☆32Updated 6 months ago
- Richardson extrapolation in Julia☆64Updated last month
- Basic parallel algorithms for Julia☆21Updated last month