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aizaan's Projects

bulk icon bulk

A Simple Bulk Labelling Tool

cookiecutter-data-science icon cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

data_tooling icon data_tooling

Tools for managing datasets for governance and training.

deepspeech icon deepspeech

DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

huner icon huner

Named Entity Recognition for biomedical entities

medcat icon medcat

Medical Concept Annotation Tool

medcattrainer icon medcattrainer

A simple interface to inspect, improve and add concepts to biomedical NER+L -> MedCAT.

medical-abstracts-tc-corpus icon medical-abstracts-tc-corpus

This repository contains a medical abstracts dataset, describing 5 different classes of patient conditions. The dataset can be used for text classification.

medmentions icon medmentions

A corpus of Biomedical papers annotated with mentions of UMLS entities.

nlp-progress icon nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

nlptest icon nlptest

Deliver safe & effective NLP models

nytk-nerkor icon nytk-nerkor

The home repository of the NerKor corpus, a Hungarian gold standard named entity annotated corpus containing 1 million tokens.

rcds-data-exploration icon rcds-data-exploration

Imperial College London / Graduate School / Data Science / Data Exploration & Visualisation

resources icon resources

Applications and datasets for healthcare text analytics developed and shared by the HDR UK Text community.

scispacy icon scispacy

A full spaCy pipeline and models for scientific/biomedical documents.

sincnet icon sincnet

SincNet is a neural architecture for efficiently processing raw audio samples.

spacy icon spacy

💫 Industrial-strength Natural Language Processing (NLP) in Python

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