training-loop

Zero-Code PyTorch Model Accelerator Toolkit 2026: Supercharge AI Training Workflows

Break out of the AI training bubble

A lightweight PyTorch training framework with simple APIs for model training, validation, and evaluation.

Minimal PyTorch training framework — implement three methods, get a full training loop: composable phases, checkpointing, early stopping, metrics, and a live web dashboard.

Flexible PyTorch Trainer boilerplate template - simplifies training, validation, and testing of models.

A sequence of five self-contained training scripts illustrating how a professional PyTorch training loop is built up step by step, from the bare minimum to the full production stack. All scripts train a causal language model on the tiny-shakespeare dataset.

🧠🌐 Neural Networks course portfolio: Python/MATLAB exercises with reproducible Poetry setup, plus per-exercise reports including plots, metrics, and logs from IF models to Hopfield and deep learning

Building a Large Language Model from scratch for deep understanding — inspired by Sebastian Raschka’s book, implemented entirely by hand.

Lightweight PyTorch utility library for training, evaluation, and TFLite export without the framework lock-in.