API redesign, more models, numerical methods!

The current release greatly extends the functionality offered by torchdyn, planning for a larger 1.0 release later this month (with multiple shooting layers, root finding, rudimentary implicit solvers, hybrid neural DE solvers).

• New ODEProblem for standard IVPs. Alternative sensitivity algorithms rely ODEProblems for sanity, and are specified at __init__. Backpropagating through the functional API (direct calls to odeint) only uses reverse-mode autodiff.
• A new interpolated adjoint variant relying on torchcde utilities.
• New functional odeint API with adaptive-step solvers: dopri5, tsit5.
• New odeint_hybrid for multi-mode hybrid ODEs with stochastic or deterministic events.
• Seamless hypersolver integration with odeint API, with same call signature!

Some more minor or less interesting changes:

• Streamlining of tests and new tutorial automated notebook validation.
• s changed to t for more clarity and compatibility with the current literature.

Expect bugs and rough edges (and some WIP hidden in the library). The 1.0 will clean those up.

torchdyn goes stochastic

v0.2.2.1

[org] update publish

torchdyn prepares for SDEs

v0.2.1

[tests] adjust tolerance of adjoint tests

torchdyn goes generative

v0.2.0

Update change_log.rst