A lightweight Python package that supplies batteries-included abstractions for PyTorch workflows
Project description
torch-batteries
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A lightweight Python package that supplies batteries-included abstractions for:
- Data loading pipelines
- Model training loops
- Evaluation workflows
- Metrics computation
- Seamless Weights & Biases tracking
Designed to reduce boilerplate and standardize experiment code.
Installation
pip install torch-batteries
Examples
Explore practical examples demonstrating torch-batteries features:
| Example | Description | Notebook | Colab |
|---|---|---|---|
| Function Fitting with MLP | Train a neural network to approximate a polynomial function using the event-driven training approach | function_fitting.ipynb |  |
Release history Release notifications | RSS feed
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