Connor Boyle (boyleconnor)

boyleconnor

Geek Repo

Location:Seattle

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Connor Boyle's repositories

pinyin-tapt-wav2vec2

(Re)-Pre-training Wav2Vec2 on Converting Pinyin to Chinese Characters

bert-phi-annotator

PHI Annotator based on BERT trained on 2014 I2B2 data

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NL-Augmenter

NL-Augmenter 🦎 → 🐍 A Collaborative Repository of Natural Language Transformations

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person-name-annotator

My entry for a person name annotator in NLP Sandbox

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date-annotator-example

Example implementation of the NLP Sandbox Date Annotator

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dragonmapper

Identification and conversion functions for Chinese text processing

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linked-list

Linked list tutorial in Rust

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MarkovMerge

program for training n-gram based Markov models on multiple textual sources

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mergesort

Implementing mergesort in Rust

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mood-reddit

Reddit analytics for Mood

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nlp-sandbox-deidentifier

NLP Sandbox de-identification service

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nlp-sandbox-schemas

The OpenAPI specifications implemented by NLP Sandbox Methods.

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nlpsandbox-client

Python client to interact with the NLP Sandbox

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nlpsandbox-website-synapse

Pages of the NLP Sandbox website on Synapse

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PeKo

(Connor Boyel's fork of) PeKo: A Large scale Precondition Knowledge dataset

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phi-annotator

Connor' PHI Annotator for NLP Sandbox

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phi-annotator-huggingface-bert

BERT NLP Sandbox PHI annotator

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phi-deidentifier-app

React client for the NLP Sandbox PHI Deidentifier

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rustlings

:crab: Small exercises to get you used to reading and writing Rust code!

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scikit-learn

scikit-learn: machine learning in Python

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sliding-window-demo

Demo for text classification sliding window

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sorts-rs

Implementing quicksort (and others) in Rust

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TaBERT

This repository contains source code for the TaBERT model, a pre-trained language model for learning joint representations of natural language utterances and (semi-)structured tables for semantic parsing. TaBERT is pre-trained on a massive corpus of 26M Web tables and their associated natural language context, and could be used as a drop-in replacement of a semantic parsers original encoder to compute representations for utterances and table schemas (columns).

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tokenizers

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

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web-markov

A web service to allow users to train and query text generation bots built on Markov models.

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