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[docs] started to write README intro, ensured make setup works on dar…
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…win x86_64 platforms
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mathysgrapotte committed Nov 14, 2024
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2 changes: 1 addition & 1 deletion Makefile
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Expand Up @@ -25,4 +25,4 @@ actions = \

.PHONY: $(actions)
$(actions):
@python scripts/make "$@"
@python3 scripts/make "$@"
6 changes: 6 additions & 0 deletions README.md
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[![pypi version](https://img.shields.io/pypi/v/stimulus-py.svg)](https://pypi.org/project/stimulus-py/)
[![gitter](https://badges.gitter.im/join%20chat.svg)](https://app.gitter.im/#/room/#stimulus-py:gitter.im)

## Introduction

Most (if not all) quality software is thouroughly tested. Deep neural networks seem to have escaped this paradigm.

Here, we attempt at solving the testing problem by proposing an extensive library to test deep neural networks beyond test-set performance.



## Installation
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1 change: 1 addition & 0 deletions pyproject.toml
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Expand Up @@ -42,6 +42,7 @@ dependencies = [
"scikit-learn>=1.5.0",
"scipy==1.14.1",
"torch>=2.2.2",
"torch==2.2.2; sys_platform == 'darwin' and platform_machine == 'x86_64'"
]

[project.scripts]
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