{"name":"py-torchdiffeq","portdir":"python/py-torchdiffeq","version":"0.2.5","license":"MIT","platforms":"any","epoch":0,"replaced_by":null,"homepage":"https://github.com/rtqichen/torchdiffeq","description":"Differentiable ODE solvers with full GPU support and adjoint backpropagation","long_description":"torchdiffeq provides differentiable ODE solvers with full GPU support and O(1)-memory backpropagation using the adjoint method.","active":true,"categories":["science","math","python"],"maintainers":[{"name":"pguyot","github":"pguyot","ports_count":162}],"variants":[],"dependencies":[{"type":"build","ports":["clang-18"]},{"type":"lib","ports":["py314-torchdiffeq"]}],"depends_on":[]}