A holistic self-supervised data cleaning strategy to detect irrelevant samples, near duplicates and label errors.
Project description
SelfClean
SelfClean Paper | Data Cleaning Protocol Paper
A holistic self-supervised data cleaning strategy to detect irrelevant samples, near duplicates, and label errors.
Development Environment
Run make
for a list of possible targets.
Installation
Run these commands to install the project:
make init
make install
To run linters on all files:
pre-commit run --all-files
Code and test conventions
black
for code styleisort
for import sortingpytest
for running tests
Project details
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