Ianshen (ianshan0915)

ianshan0915

Geek Repo

Company:T-Mobile Nederland

Location:Netherlands

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Ianshen's repositories

ade-extraction

NLP pipeline that extracts adverse drug reactions SmPC

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clinical-opensource-projects

A systematic review on clinical open source projects on GitHub for improving software reuse

Spark-LDA-biomedical-text

spark application for our paper in NLPIR 2019 conference

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MABNLP

A lightweight API-based clinical NLP

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bad-data-guide

An exhaustive reference to problems seen in real-world data along with suggestions on how to resolve them.

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baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

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deck.gl

WebGL2 powered geospatial visualization layers

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faas

OpenFaaS - Serverless Functions Made Simple for Docker & Kubernetes

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finetune-transformer-lm

Code and model for the paper "Improving Language Understanding by Generative Pre-Training"

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incubator-superset

Apache Superset (incubating) is a modern, enterprise-ready business intelligence web application

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keras

Deep Learning for humans

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locate

LOCATE: A web application to link open-source clinical software with literature

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material-components-web-react

Material Components for React (MDC React)

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material-ui

React components that implement Google's Material Design.

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medium-articles

Resources for the medium articles

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medium-clone-on-node

link clinical open-source software to literature

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mlflow

Open source platform for the machine learning lifecycle

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mlflow-starter

an MLflow example for beginners

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models

Models and examples built with TensorFlow

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partisan-discourse

A web application that identifies party in political discourse and an example of operationalized machine learning.

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pyGAM

[SEEKING FEEDBACK] Generalized Additive Models in Python

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PyGithub

Typed interactions with the GitHub API v3

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react-map-gl

React friendly API wrapper around MapboxGL JS

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webpack

A bundler for javascript and friends. Packs many modules into a few bundled assets. Code Splitting allows to load parts for the application on demand. Through "loaders," modules can be CommonJs, AMD, ES6 modules, CSS, Images, JSON, Coffeescript, LESS, ... and your custom stuff.

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whylogs

Profile and monitor your ML data pipeline end-to-end

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