Tom Ewing (te-565)

te-565

Geek Repo

Company:Department of Transport

Location:London, UK

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Tom Ewing's repositories

dsf-geo-presentation

Code and useful stuff to support my Data Science Festival presentation on 04/04/2020.

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dask-presentation

Turbocharge your Data Science workflow with Dask!

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conda_container

Template for a conda project

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covid-19-data

Links to various COVID-19 resources, APIs and datasets

ds-resources

A place for us to store all the good learning & development resources and reference materials that we feel could benefit others.

Objectron

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

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pipedrive-materials

A list of resources for my friends at Pipedrive =)

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Cookbook

The Data Engineering Cookbook

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cortex

Deploy machine learning models to production

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dask

Repo to hold my Dask tutorial. This is based on the offical Dask tutorial with some added explanation and some real world examples.

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dask-kubernetes

Native Kubernetes integration for dask

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deep_translator

A flexible free and unlimited python tool to translate between different languages in a simple way using multiple translators.

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evidently

Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b

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geo

Maps, Geography code snippets and probably more.

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kaggle-predict-sales

Repo for my code for the Predict Sales Kaggle competition here: https://www.kaggle.com/c/competitive-data-science-predict-future-sales

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lazypredict

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

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mango-env

Instructions to setup a decent GCP-friendly Linux development environment in Windows

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mango-test

A coding test!

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ml-design-patterns

Source code accompanying O'Reilly book: Machine Learning Design Patterns

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NLP-pretrained-model

A collection of Natural language processing pre-trained models.

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palmerpenguins

A great intro dataset for data exploration & visualization (alternative to iris).

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pandas-hacks

Repo showing some neat packages for Pandas

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segregation

Segregation Analysis, Inference, and Decomposition

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trusted-consultant-additional-material

Some further reading for the Mango trusted consultant course

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WellcomeML

Repository for Machine Learning utils at the Wellcome Trust

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