48 Open source projects that are alternatives of or similar to idrlnet

The SciML Scientific Machine Learning Software Organization Website

2D orthogonal elliptic mesh generator which solves the Winslow partial differential equations

Wrappers for the SciPy differential equation solvers for the SciML Scientific Machine Learning organization

Fast Poisson Random Numbers in pure Julia for scientific machine learning (SciML)

Compressed Sensing: From Research to Clinical Practice with Data-Driven Learning

A common interface for quadrature and numerical integration for the SciML scientific machine learning organization

Public repository for the proposal “Physics-Informed Machine Learning Simulator for Wildfire Propagation” - MLJC University of Turin - ProjectX2020 Competition (UofT AI)

A collection of functionality around rooted trees to generate order conditions for Runge-Kutta methods in Julia for differential equations and scientific machine learning (SciML)

Benchmarks for scientific machine learning (SciML) software and differential equation solvers

A Differentiable Reacting Flow Simulation Package in PyTorch

A library of noise processes for stochastic systems like stochastic differential equations (SDEs) and other systems that are present in scientific machine learning (SciML)

GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem

Investigating PINNs

Utility functions for exponential integrators for the SciML scientific machine learning ecosystem

Python for ultrashort laser pulse retrieval

Computational Tomography in PyTorch

Latent Differential Equations models in Julia.

A library for building differential equations arising from physical problems for physics-informed and scientific machine learning (SciML)

A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, and more for ODEs, SDEs, DDEs, DAEs, etc.

Lightweight and easy generation of quasi-Monte Carlo sequences with a ton of different methods on one API for easy parameter exploration in scientific machine learning (SciML)

Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations

Pycsou is a Python 3 package for solving linear inverse problems with state-of-the-art proximal algorithms. The software implements in a highly modular way the main building blocks -cost functionals, penalty terms and linear operators- of generic penalised convex optimisation problems.

This package contains a macro for converting expressions to use muladd calls and fused-multiply-add (FMA) operations for high-performance in the SciML scientific machine learning ecosystem

Automatic optimization and parallelization for Scientific Machine Learning (SciML)

PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks

Solving differential equations in parallel on GPUs - JuliaCon 2021 workshop

Benchmarking, testing, and development tools for differential equations and scientific machine learning (SciML)

ChaosMagPy is a simple python package for evaluating the CHAOS geomagnetic field model.

Helicopter Scientific Machine Learning (SciML) Challenge Problem

Boundary value problem (BVP) solvers for scientific machine learning (SciML)

Universal modeling and simulation of fluid dynamics upon machine learning

Configurable ODE/PDE solver

A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers

Julia interface to Sundials, including a nonlinear solver (KINSOL), ODE's (CVODE and ARKODE), and DAE's (IDA) in a SciML scientific machine learning enabled manner

MIRT: Michigan Image Reconstruction Toolbox (Julia version)

CellMLToolkit.jl is a Julia library that connects CellML models to the Scientific Julia ecosystem.

Solving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Software Suite for Advanced General Ensemble Simulations

Iterative unfolding for Python

Fast uncertainty quantification for scientific machine learning (SciML) and differential equations

A unifying Matlab framework for the development of reconstruction algorithms (solving inverse problems) in computational imaging

A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations

Deep learning framework for MRI reconstruction

Backend for DiffEqOnline, a webapp for scientific machine learning (SciML)

Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia

Collection of popular and reproducible image denoising works.

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components