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Curtis G. Northcutt cgnorthcutt

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CEO & Co-Founder @cleanlab | PhD (2021) @mit | Data-centric AI | Former Google, Oculus, Amazon, Facebook, Microsoft, NASA AI Research

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cleanlab/cleanlab Public

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels

Python 2.9k 289
benchmarking-keras-pytorch Public

🔥 Reproducibly benchmarking Keras and PyTorch models

Python 358 40
hypopt Public

⏸ Parallelized hyper-param optimization with validation set, not crossval

Python 79 19
confidentlearning-reproduce Public

Official data release to reproduce Confident Learning paper results

Jupyter Notebook 26 13
rankpruning Public

🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.

Jupyter Notebook 79 12
facebookresearch/EgoCom-Dataset Public

EgoCom: A Multi-person Multi-modal Egocentric Communications Dataset

Jupyter Notebook 34 4

1,192 contributions in the last year

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Activity overview

Contributed to cgnorthcutt/veneer, cleanlab/cleanlab, cleanlab/label-errors and 5 other repositories

Contribution activity

April 2022

Created 75 commits in 4 repositories

Created a pull request in cleanlab/cleanlab that received 104 comments

Introducing the new Dataset Module for cleanlab 2.0

Dataset module This module introduces the new API for interacting and working with the entire datasets, with suggestions for overlapping classes th…

+929 −2 • 104 comments

Opened 11 other pull requests in 1 repository

cleanlab/cleanlab 11 merged

fix black formatting compliance Apr 18
final tutorial edits. dataset docstrings imp Apr 16
Clarify and fix several docstrings. Apr 15
bug fixes and jupyter notebook support added Apr 15
fix broken printing of matrices Apr 14
Fix error in docstring. missing item in tuple Apr 14
Add from . import dataset to init Apr 14
set verbose default false. fix order of printing Apr 14
Minor improvements to count docstring Apr 8
Simple fix to Issue 158 (and potentially other issues) Apr 6
CleanLearning = Machine Learning with cleaned data Apr 6

Reviewed 13 pull requests in 1 repository

cleanlab/cleanlab 13 pull requests

Bump version to 2.0.0 Apr 16
Configure display setting of Dataframe in 2.0 tutorial Apr 15
bug fixes and jupyter notebook support added Apr 15
Make minor doc tweaks Apr 14
Returns DataFrame type from CleanLearning functions Apr 13
Readme reformat Apr 13
Introducing the new Dataset Module for cleanlab 2.0 Apr 13
Add self.labels as attribute of FastTextClassifier Apr 8
Docs cleanup Apr 8
Simple fix to Issue 158 (and potentially other issues) Apr 6
CleanLearning = Machine Learning with cleaned data Apr 6
added LearningWithNoisyLabels.find_label_issues instance method Apr 6
Remove unnecessary version warning Apr 5

7 contributions in private repositories Apr 1 – Apr 12