DNNKit v0.2 – Lightweight Deep Learning Experimentation Framework

DNNKit is a lightweight framework for reproducible deep learning experiments.

Features:
• CLI training interface
• dataset and model registry
• experiment logging
• leaderboard generation
• automated report generation

Benchmark results:

MNIST (MLP)
Accuracy: 96.9%

The framework is implemented in PyTorch and designed to provide
minimal overhead compared with larger deep learning frameworks.

Associated research paper:
"DNNKit: A Lightweight Framework for Reproducible Deep Learning Experiments"