Torch-Scope documentation

A Toolkit for training pytorch models, which has three features:

  1. Tracking environments, dependency, implementations and checkpoints;
  2. Providing a logger wrapper with two handlers (to `std` and `file`);
  3. Supporting automatic device selection;
  4. Providing a tensorboard wrapper;
  5. Providing a spreadsheet writer to automatically summarizing notes and results;

Indices and tables