Quickstart #
Curated first-tour examples for TorchLean.
This umbrella is intentionally smaller than NN.Examples.Zoo. It teaches the primitives a new user
needs before opening the model zoo:
- typed tensors and runtime scalar choices,
- editor widgets for inspecting tensors, floats, graphs, and logs,
- autograd helpers for gradients, Jacobians, Hessian-vector products, and detach,
- one compact end-to-end MLP training loop, and
- the proof/compile-time side of TorchLean's shape-indexed API.
Larger CNN, ResNet, data-loader, PyTorch interop, RL, and verification examples remain in their
specialized folders. The point of Quickstart is a clean on-ramp, not another model zoo.