Zero

Zero is a general-purpose library for PyTorch users. Zero:

• simplifies training loop, reproducibility, models evaluation and other typical Deep Learning tasks

• provides a collection of “building blocks” and leaves code organization to you

• can be used on its own or together with PyTorch frameworks such as Lightning, Ignite, Catalyst and others

NOTE: Zero is tested (and battle-tested in research projects), but the interface is not stable yet, so backward-incompatible changes in future releases are possible.

Overview

• Website

• Learn Zero

• Classification task example (MNIST)

• The first release announcement

• Discussion

• Code

Installation

If you plan to use the GPU version of PyTorch, install it before installing Zero (otherwise, the CPU version will be installed together with Zero).

$ pip install libzero

Dependencies

• Python >= 3.7

• NumPy >= 1.17

• PyTorch >= 1.6 (CPU or CUDA >= 10.1)

• pynvml >= 8.0

• tqdm >= 4.0

How to contribute

• See issues, especially with the labels “discussion” and “help wanted”

• Open issues with bugs, ideas and any other kind of feedback

If your contribution includes pull requests, see CONTRIBUTING.md

Why “Zero”?

Zero aims to be zero-overhead in terms of mental overhead: solutions, provided by Zero, try to be as minimal, intuitive and easy to learn, as possible. Well, all these things can be pretty subjective, so don’t take it too seriously :wink:

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Indices and Tables

• Index

• Module Index