Recommendations
A curated list of awesome resources recommended by our lab group.
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Causal Inference: What If?
| Nov 22, 2022
I read drafts of this book during my Phd, and loved it. Miguel Hernan writes beautifully, and I found his reasoning and explanations very intuitive.
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Code with Engineering Playbook
| Dec 4, 2022
Recommendations from Microsoft's Consumer Software Engineering. This is full of awesomeness.
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DAGitty — draw and analyze causal diagrams
| Nov 25, 2022
DAGitty is a browser-based environment for creating, editing, and analyzing causal diagrams (also known as directed acyclic graphs or causal Bayesian networks). The focus is on the use of causal diagrams for minimizing bias in empirical studies in epidemiology and other disciplines.
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HealthyR: R for Health Data Science
| Nov 19, 2022
A great free beginner introduction to R for healthcare professionals! Created by Prof Ewan Harrison (a professor of Surgical & Data Science at Edinburgh University), this course takes you from an absolute beginner, with topics such as "what is R?" & "how to install it", through to running your own regression analyses and producing plots!
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JAMA Guide to Statistics and Methods
| Nov 22, 2022
I found this through this article [Why Test for Proportional Hazards?](https://doi.org/10.1001/jama.2020.1267) by the amazing Miguel Hernan (proposer of 'Causal Inference: What If')
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Pytorch Lightning
| Dec 14, 2022
An opinionated framework for developing models on-top of PyTorch. It handles moving tensors to the appropriate device, batching, and multi-GPU/TPU training and inference. Also comes with a set of metrics suitable for the assessment of the model out of the box
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ROS
| Dec 14, 2022
The Robot Operating System (ROS) is a framework that has gained widespread adoption for asynchronous publisher-subscriber model aiming at making all things Robots easier.
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The Art of the Command Line
| Nov 25, 2022
This is a selection of notes and tips on using the command-line that we've found useful when working on Linux. Some tips are elementary, and some are fairly specific, sophisticated, or obscure. This page is not long, but if you can use and recall all the items here, you know a lot.
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daiquiri
| Dec 5, 2022
The daiquiri package generates data quality reports that enable quick visual review of temporal shifts in record-level data.
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einops
| Dec 14, 2022
A framework agnostic library that makes the task of reshaping, reducing, and repeating tensor shapes easy.
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timm
| Dec 14, 2022
Torch Image Models (TIMM) s a collection of computer vision models, layers, utilities, optimizers, schedulers, data-loaders, augmentations and also training/validating scripts with ability to reproduce ImageNet training results