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45 public repositories
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A system for quickly generating training data with weak supervision
Updated
Dec 6, 2021
Python
The standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.
Updated
Nov 17, 2021
Python
skweak: A software toolkit for weak supervision applied to NLP tasks
Updated
Dec 23, 2021
Python
Labelling platform for text using weak supervision.
Updated
Dec 9, 2021
JavaScript
BOND: BERT-Assisted Open-Domain Name Entity Recognition with Distant Supervision
Updated
Jun 2, 2021
Python
Implementation of CRAFT Text Detection
Updated
Dec 7, 2021
Python
Framework to learn Named Entity Recognition models without labelled data using weak supervision.
Updated
Apr 19, 2021
Jupyter Notebook
WRENCH: Weak supeRvision bENCHmark
Updated
Dec 13, 2021
Python
This is the code for our paper `Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach' (In Proc. of NAACL-HLT 2021).
Updated
Oct 11, 2021
Python
A curated list of programmatic weak supervision papers and resources
Self-training with Weak Supervision (NAACL 2021)
Updated
Aug 25, 2021
Python
Dataset for paper "Weak Supervision for Fake News Detection via Reinforcement Learning" published in AAAI'2020.
Updated
Jul 29, 2020
Jupyter Notebook
Weakly Supervised End-to-End Learning (NeurIPS 2021)
Updated
Dec 13, 2021
Python
Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data
Updated
Aug 5, 2021
Python
A PyTorch-based open-source framework that provides methods for improving the weakly annotated data and allows researchers to efficiently develop and compare their own methods.
Updated
Dec 23, 2021
Python
SPEAR: Semi suPErvised dAta progRamming
Updated
Nov 8, 2021
Jupyter Notebook
Topic Inference with Zeroshot models
Updated
Nov 22, 2021
Python
Weakly supervised medical named entity classification
Updated
Dec 3, 2021
Python
Updated
Mar 7, 2021
Python
Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
Updated
Sep 19, 2021
Python
Data programming by demonstration for information extraction and span annotation
Updated
Sep 9, 2021
JavaScript
Data Programming by Demonstration (DPBD) for Document Classification
Updated
Jun 17, 2021
Jupyter Notebook
Official data release to reproduce Confident Learning paper results
Updated
Apr 23, 2021
Jupyter Notebook
PyTorch implementation of AAAI 2021 paper: A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization
Updated
Apr 20, 2021
Python
Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling
Updated
Feb 25, 2021
Python
Code for "BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition"
Updated
Nov 22, 2021
Python
Rare disease identification from free-text clinical notes with ontologies and weak supervision
Implementation of 2D-3D Cyclic Generative Renderer (3DV-2020).
Updated
Apr 24, 2021
Python
Includes additional materials for the following keras.io blog post.
Updated
Jun 23, 2021
Jupyter Notebook
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The default
RubrixLogHTTPMiddlewarerecord mapper for token classification expect a structured including atextfield for inputs. This could make prediction model inputs a bit cumbersome. Default mapper could accepts also flat strings as inputs: