A library for differentiable nonlinear optimization

Differentiable rendering without approximation.

[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training

PyNeuraLogic lets you use Python to create Differentiable Logic Programs

A pytorch re-implementation of Real-time Scene Text Detection with Differentiable Binarization

VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.

AeroJAX: A differentiable, structure-preserving framework for real-time flow simulation, control, and inverse design. Architected for neural operator integration and latent-space acceleration. Built with JAX.

cuTAMP: Differentiable GPU-Parallelized Task and Motion Planning

Differentiable Programming Algorithms in Modern C++

Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.

Published on Nature Machine Intelligence! The first real robot(quadrotor) based on differentiable physics training.

Code repository for our paper DiffCloth: Differentiable Cloth Simulation with Dry Frictional Contact