Examples

The examples mirror the runnable scripts in the repository. They are written to make traceTorch mechanics visible, not to chase benchmark scores.

Run them from an editable install:

git clone https://github.com/Yegor-men/tracetorch.git
cd tracetorch
pip install -e .

Then install the requirements for the example you want.

Recommended order:

1. MNIST Examples explains the three MNIST scripts: rate-coded, sequential, and noisy.

2. Heidelberg Digits explains the Heidelberg Digits event-data example.

Contents:

• MNIST Examples
  • Rate-coded MNIST
  • Sequential MNIST
  • Noisy MNIST
  • Reading the plots
• Heidelberg Digits
  • Dataset
  • Model
  • Training loop
  • Notes