A JIT compiler for hybrid quantum programs in PennyLane

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

Benchmarks for decision-focused learning

An interface to various automatic differentiation backends in Julia.

Repository for automatic differentiation backend types

End-to-end Generative Optimization for AI Agents

Utilities for automatic differentiation in Futhark

Mathematics.NET is a C# class library that provides tools for solving mathematical problems.

A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.

Coloring algorithms for sparse Jacobian and Hessian matrices

automatic differentiation made easier for C++

JAX-based linear Einstein-Boltzmann solver for cosmology

Fast operator-overloading Jacobian & Hessian sparsity detection.

A modular C++17 framework for automatic differentiation

Cross-Country Elimination in JAX

Differentiable optical models as parameterised neural networks in Jax using Zodiax

This is a mirror of Physica

Automatic differentiation of implicit functions

Travel space and time by using autodiff and codegen

Physics.NET is a C# class libary that provides tools for solving physics problems.