DocParseNet is an innovative multi-modal deep learning architecture specifically designed for parsing and annotating document images, particularly those derived from Right of Way (ROW) agreement PD…

docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.

A community-supported supercharged version of paperless: scan, index and archive all your physical documents

gRPC clients and servers in R

Extension to {sparklyr} that allows you to interact with Spark & Databricks Connect

All kinds of neural text classifiers implemented by Keras

This repository contains the code and data download links to reproduce the experiments of the PVLDB paper "Dual-Objective Fine-Tuning of BERT for Entity Matching" by Ralph Peeters and Christian Bizer.

Tidy interface to 'data.table'

Tidy interface to polars

Predict Race and Ethnicity Based on the Sequence of Characters in a Name

Code and data used in named entity transliteration experiments

Transliteration data and models

Fast, flexible name matching for large datasets

Fuzzy document finding in Ruby

Python port of SymSpell: 1 million times faster spelling correction & fuzzy search through Symmetric Delete spelling correction algorithm

Rapid fuzzy string matching in Python using various string metrics

SymSpell: 1 million times faster spelling correction & fuzzy search through Symmetric Delete spelling correction algorithm

📐 Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.

🎯 String metrics and phonetic algorithms for Scala (e.g. Dice/Sorensen, Hamming, Jaccard, Jaro, Jaro-Winkler, Levenshtein, Metaphone, N-Gram, NYSIIS, Overlap, Ratcliff/Obershelp, Refined NYSIIS, Re…

A pytorch implementation of the ACL2019 paper "Simple and Effective Text Matching with Richer Alignment Features".

A curated list of resources on document similarity measures (papers, tutorials, code, ...)

📖 A curated list of resources dedicated to Natural Language Processing (NLP)

📖 A curated list of resources dedicated to Natural Language Processing (NLP)

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

State of the Art Natural Language Processing

An implementation of DBSCAN runing on top of Apache Spark

Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

PyTorch original implementation of Cross-lingual Language Model Pretraining.

Streamlit — A faster way to build and share data apps.

Data Apps & Dashboards for Python. No JavaScript Required.