Modulesยง
- autograd
- Automatic differentiation engine for RUMUS.
- backend
- Hardware abstraction layer for compute operations.
- data
- Data loading pipeline: datasets and batched iterators.
- nn
- Neural network building blocks: parameters, modules, layers, losses, and IO.
- optim
- Optimizers for updating learnable parameters.
- tensor
- train
- Lightweight training loop orchestrator.