Hugo Bowne-Anderson (hugobowne)

hugobowne

Geek Repo

Company:Outerbounds

Location:Sydney

Home Page:https://hugobowne.github.io/

Twitter:@hugobowne

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Hugo Bowne-Anderson's repositories

deep-learning-from-scratch-pytorch

Deep Learning from Scratch with PyTorch

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bayesian-stats-simulation-tutorial

Bayesian statistical modelling using numpy and PyMC3. Telling stories using the language of probability. And more!

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COVID-19-EDA-tutorial

This tutorial's purpose is to introduce people to the [2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository by Johns Hopkins CSSE](https://github.com/CSSEGISandData/COVID-19) and how to explore it using some foundational packages in the Scientific Python Data Science stack.

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PythonDataScienceHandbook

Jupyter Notebooks for the Python Data Science Handbook

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sicp-2019

Some of the fruits of taking David Beazley's SICP course in Summer, 2019

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data-testing-tutorial

A short tutorial on how to do data testing.

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courses-intro-to-r

An free interactive introduction to R tutorial for DataCamp.com

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tutorials

A collection of executable tutorials from SciPy and PyData conferences

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bio-headshot

bio + headshot as people ask for these on occasion

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course-v3

The 3rd edition of course.fast.ai

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machine-learning-in-r

We're teaching Machine Learning in R as part of a Data Carpentry Workshop at Cold Spring Harbour in Summer, 2018. This is an experiment.

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python-novice-gapminder

Introduction to Python for non-programmers using gapminder data

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cloud-scanner

Cloud Scanner is a cloud agnostic tool that extracts cloud based resources from cloud providers like Azure and ingests them into a configured data source for further processing.

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docusaurus

Easy to maintain open source documentation websites.

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keras-io

Keras documentation, hosted live at keras.io

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proposal

A proposal for hosting useR conference in NYC in 2020.

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python-ecology-lesson

:page_with_curl: Data Carpentry Python lessons on ecology

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xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

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