torchsde: SDE Solvers and Adjoint Sensitivity in PyTorch

torchsde provides robust stochastic differential equation (SDE) solvers with GPU support and efficient adjoint sensitivity analysis in PyTorch. It enables differentiable SDE simulations, crucial for deep learning models involving stochastic processes. The current version is 0.2.6, and after a significant hiatus, it recently saw a maintenance release to address dependency issues and improve stability, indicating an active but potentially slow release cadence.