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data-programming

Here are 18 public repositories matching this topic...

JieyuZ2 / wrench

[NeurIPS 2021] WRENCH: Weak supeRvision bENCHmark

nlp machine-learning deep-learning weak-supervision dataset benchmark-framework sequence-labeling weakly-supervised-learning data-programming robust-learning data-centric-ai

Updated Feb 13, 2024
Python

JieyuZ2 / Awesome-Weak-Supervision

A curated list of programmatic weak supervision papers and resources

machine-learning weak-supervision data-programming

Updated Mar 1, 2023
TeX

spear

decile-team / spear

SPEAR: Programmatically label and build training data quickly.

machine-learning deep-learning weak-supervision semi-supervised-learning unsupervised-learning data-programming data-efficient-learning labeling-functions

Updated Jun 27, 2024
Jupyter Notebook

megagonlabs / tagruler

Data programming by demonstration for information extraction and span annotation

machine-learning weak-supervision data-programming data-labeling data-programming-by-demonstration

Updated Sep 9, 2021
JavaScript

megagonlabs / ruler

Data Programming by Demonstration (DPBD) for Document Classification

data-science machine-learning weak-supervision training-data data-programming data-labeling

Updated Jun 17, 2021
Jupyter Notebook

benbo / interactive-weak-supervision

Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling

machine-learning weak-supervision training-data data-programming data-labeling active-weak-supervision interactive-weak-supervision

Updated Feb 25, 2021
Python

cse163 / book

Source code for the CSE 163: Intermediate Data Programming book (with code for practice problems)

education data-science introduction-to-python data-programming

Updated Oct 30, 2022
Jupyter Notebook

junchenzhi / Neural-Hidden-CRF

Code for the KDD-2023 paper: Neural-Hidden-CRF: A Robust Weakly-Supervised Sequence Labeler

weak-supervision named-entity-recognition snorkel crowdsourcing sequence-labeling weakly-supervised-learning weak-labels data-programming noisy-labels noisy-label-learning learning-from-crowds learning-from-human-feedback truth-inference

Updated Nov 2, 2023
Python

bayartsogt-ya / mnpolarity

Mongolian Polarity Detection in Weakly Supervised manner

classification snorkel tweet mongolian unlabeled-data data-programming software2 polarity-detection polarity-classification polarity-score nolabel weaklysupervised

Updated Jul 19, 2022
Python

semantic-health / deep-patient-cohorts

A tool for automatically labelling discharge summaries into disease categories.

clinical-notes data-programming noisy-labels flying-squid

Updated Oct 2, 2023
Python

ayushbits / Semi-Supervised-LFs-Subset-Selection

This repository contains source code of our ACL 2021 paper **Data Programming using Semi-Supervision and Subset Selection**

data-programming semi-supervision

Updated May 19, 2022
Python

sampathkethineedi / snorkel-process

Process flow to generate labels on Text data using Snorkel and maintain DB to repurpose unlabelled data

nlp database-management snorkel data-programming

Updated Mar 8, 2019
Python

ayushbits / robust-aggregate-lfs

Source code of our ACL 2022 paper 'Learning to robustly aggregate labeling functions for semi-supervised data programming'

machine-learning data-programming semi-supervision

Updated Jun 5, 2022
Python

sfpugh / Naturally-Adversarial-Datasets

An approach to curating naturally adversarial datasets.

weak-supervision robustness adversarial-examples data-programming natural-adversarial-examples

Updated Sep 16, 2024
Python

junchenzhi / Awesome-Weak-Supervision-Sequence-Labeling

A curated list of awesome Weak-Supervision-Sequence-Labeling (WSSL) papers, methods & resources.

information-extraction weak-supervision named-entity-recognition snorkel crowdsourcing sequence-labeling weakly-supervised-learning weak-labels data-programming noisy-labels noisy-label-learning learning-from-crowds crowd-intelligence learning-from-human-feedback weak-label truth-inferec

Updated Sep 14, 2023

data-programming / model-to-data

Prepare a data set based on the model that you already have, then experiment with 'training' your 'Machine Learning' tool on this data. Did it recognize the model? Sorry, that was a stupid question. Why didn't it? You can find out with the help of these tools here.

data-programming synthesized-data artificial-data

Updated Apr 20, 2018

MrPatrek / r-projects

One common repo for all of my R projects

r statistics tidyverse data-programming

Updated Jul 25, 2022
HTML

erossini / FSharpTutorial

F# tutorial: building applications, data programming and tests

application tutorial test data-programming

Updated Apr 24, 2020
HTML

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