{"library":"torchsde","type":"library","category":null,"description":"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.","language":"python","status":"active","version":"0.2.6","tags":["pytorch","sde","stochastic differential equations","deep learning","numerical methods","adjoint sensitivity","gpu"],"last_verified":"Thu May 21","install":[{"cmd":"pip install torchsde","imports":["from torchsde import sdeint","from torchsde import sdeint_adjoint","from torchsde.brownian_lib import BrownianPath"]}],"homepage":null,"github":"https://github.com/google-research/torchsde","docs":null,"changelog":null,"pypi":"https://pypi.org/project/torchsde/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":20,"avg_install_s":72.8,"avg_import_s":6.08,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/torchsde/compatibility"}}