avik-pal

Wandb.jl

Unofficial Julia bindings for logging experiments to wandb.ai

FluxMPI.jl

Distributed Data Parallel Training of Deep Neural Networks

FastAlmostBandedMatrices.jl

RobustNonlinearSolvers.jl

Testing out Nonlinear Solvers that Automatically Switch between Discrete and Continuous Variants

model-zoo

Please do not feed the models

Adapt.jl

ADTypes.jl

Repository for SciML AD backend types

AirspeedVelocity.jl

Easily benchmark a Julia package over its commit history

ArrayInterface.jl

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

BoundaryValueDiffEq.jl

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

ChainRules.jl

forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs

ComponentArrays.jl

Arrays with arbitrarily nested named components.

DiffEqDevTools.jl

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

DiffEqProblemLibrary.jl

A library of premade problems for examples and testing differential equation solvers and other SciML scientific machine learning tools

DiffEqSensitivity-Review

A Review of Sensitivity Methods for Differential Equations

DifferentialEquations.jl

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

kaolin

A PyTorch Library for Accelerating 3D Deep Learning Research

Krylov.jl

A Julia Basket of Hand-Picked Krylov Methods

NonlinearSolveMINPACK.jl

Wrappers for MINPACK into the SciML Common Interface

Optim.jl

Optimization functions for Julia

PolyesterForwardDiff.jl

SimpleNonlinearSolve.jl

Fast and simple nonlinear solvers for the SciML common interface. Newton, Broyden, Bisection, Falsi, and more rootfinders on a standard interface.

Startup.jl

SteadyStateDiffEq.jl

Solvers for steady states in scientific machine learning (SciML)

StochasticDelayDiffEq.jl

Stochastic delay differential equations (SDDE) solvers for the SciML scientific machine learning ecosystem

StochasticDiffEq.jl

Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem

TaylorDiff.jl

Taylor-mode automatic differentiation for higher-order derivatives

Tracker.jl

Flux's ex AD

Umlaut.jl

The Code Tracer