Geoffrey Kip's starred repositories

NLP-Specialization

NLP Specialization (Natural Language Processing) made by deeplearning.ai

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accrual

:exclamation: This is a read-only mirror of the CRAN R package repository. accrual — Bayesian Accrual Prediction

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COVID19_AgentBasedSimulation

COVID-ABS: An Agent-Based Model of COVID-19 Epidemic to Simulate Health and Economic Effects of Social Distancing Interventions

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DELPHI

DELPHI: The Epidemiological model underlying COVIDAnalytics

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COVID-19

COVID-19 Open Research Dataset Challenge (CORD-19)

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ClinicalTrialSimulation

This repo consists of all the R code examples for the simulating adaptive clinical trials YouTube series by J. Kyle Wathen at

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ktrain

ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

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ai-projects

Artificial Intelligence projects, documentation and code.

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PyData_LA_2018

Added repo for PyData LA 2018 tutorial

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ICIAR2018

Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification. ICIAR 2018 Grand Challenge on BreAst Cancer Histology images (BACH)

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Deep-Learning-Experiments

Videos, notes and experiments to understand deep learning

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python-wsi-preprocessing

Python Whole Slide Image Preprocessing

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py-wsi

Python package for dealing with whole slide images (.svs) for machine learning, particularly for fast prototyping. Includes patch sampling and storing using OpenSlide. Patches may be stored in LMDB, HDF5 files, or to disk. It is highly recommended to fork and download this repository so that personal customisations can be made for your work.

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gdrive

Google Drive CLI Client

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deep-histopath

A deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge

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cord19q

COVID-19 Open Research Dataset (CORD-19) Analysis

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python-fitbit

Fitbit API Python Client Implementation

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chime

COVID-19 Hospital Impact Model for Epidemics

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python-domino

Python bindings for the Domino APIs

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Atlas

ATLAS is an open source software tool for researchers to conduct scientific analyses on standardized observational data

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ludwig_examples

Repo to try Uber's ludwig API for deep learning neural networks

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home-credit-default-risk

Default risk prediction for Home Credit competition - Fast, scalable and maintainable SQL-based feature engineering pipeline

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causallift

CausalLift: Python package for causality-based Uplift Modeling in real-world business

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hoff-bayesian-statistics

R Markdown notes for Peter D. Hoff, "A First Course in Bayesian Statistical Methods"

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d6tflow

Python library for building highly effective data science workflows

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d6tpipe

Push and pull data files like code

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Python-for-Epidemiologists

Tutorial in Python targeted at Epidemiologists. Will discuss the basics of analysis in Python 3

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