Neurodiffeq Versions Save

Happy 2024 🎆 🥳

• Add support for selecting a particular device when there are multiple GPU devices.
• Fix an bug when loading a solver whose .nets have shared instance(s) of torch.nn.Module.
• Miscellaneous documentation improvement.
• PR CI is up and running again

1. Allow update best_net without running validation every epoch
2. New 1-D Dirichlet boundary condition for bundles
3. Some API changes for bundle solvers and bundle conditions
4. Allow saving and loading custom solvers inheriting Sovler1D, Solver2D, or BundleSolver1D
5. Suppress error related to removing colorbar caused by newer versions of matplotlib

Hot fix: solve a fatal compatibility issue with torch v1.13

• Bug fix: deduplicate parameters when networks share common layers/params
• Removed deprecated APIs
• Forward compatibility with newer versions of PyTorch

1. Better progress bar
2. Allow user to conveniently set torch and numpy seeds with neurodiffeq.utils.set_seed
3. Implement solvers.get_residuals
4. Misc bug fixes and better error messages

• Support Chebyshev points of the first and second kine for Generator1D, Generator2D, Generator3D, GeneratorND
• Modify the usage of log-spaced and log-spaced-noisy for Generator1D to make it consistent with other sampling methods
• Support tqdm progress bar with solver.fit(). Default is writing progress bar to stderr.

1. Integration with NeuroDiffHub (in beta)
2. Extensive operator support
3. Better monitors
4. Clearer documentation
5. Miscellaneous improvement

• Misc bug fixes
• Add Generic Solver (Solver for arbitrary dimensions)
• Custom loss metrics
• More Efficient grad operator
• Bundle Solver for ODE

Fix an issue where images are not properly rendered on PyPI index page.

Update the README page & misc changes.