JOSS Papers: automatic differentiation

All Papers
4111
 Published Papers
3747
 Active Papers
364
published Published 2 months ago

pyaudi: A truncated Taylor polynomial algebra toolbox for differentiable intelligence, automatic differentiation, and verified integration applications.

C++ Python
@sbcow
10.21105/joss.09905
published Published 2 months ago

Peroxide: A Batteries-Included Numerical Computing Library for Rust

Rust
@axect
10.21105/joss.10366
published Published 8 months ago

FluxOptics.jl: A Differentiable Wave Optics Framework for Inverse Design in Julia

Julia Python
@anscoil
10.21105/joss.09734
published Published 9 months ago

FDTDX: High-Performance Open-Source FDTD Simulation with Automatic Differentiation

Python
@ymahlau
10.21105/joss.08912
published Published about 1 year ago

Tesseract Core: Universal, autodiff-native software components for Simulation Intelligence

Python
@boltzmannbrain
10.21105/joss.08385
published Published over 1 year ago

PathSim - A System Simulation Framework

Python
@milanofthe
10.21105/joss.08158
published Published over 1 year ago

AutoPDEx: An Automized Partial Differential Equation solver based on JAX

Python
@BodeTobias
10.21105/joss.07300
published Published over 2 years ago

Catalyst: a Python JIT compiler for auto-differentiable hybrid quantum programs

Python
@josh146
10.21105/joss.06720
published Published about 3 years ago

BridgeStan: Efficient in-memory access to the methods of a Stan model

R C Julia
@roualdes
10.21105/joss.05236
published Published over 3 years ago

QAOA.jl: Toolkit for the Quantum and Mean-Field Approximate Optimization Algorithms

Julia
@timbode
10.21105/joss.05364
Displaying papers 1 - 10 of 15 in total

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ISSN 2475-9066