smyth7

AMLD2020

Applied ML Days 2020

smythfoam

Testing foam

adamian.github.io

AML-days-TDA-tutorial

amld-2019

amld-pytorch-workshop

Introduction to PyTorch Workshop at the AMLD 2019

smyth7-wiki

A revolutionary full-featured wiki for github pages and jekyll. You don't need to compile it!

smyth7.github.io

Personal webpage

BDA_course_Aalto

Bayesian Data Analysis course at Aalto

beautiful_idiomatic_python

Notes from Raymond Hettinger's talk at PyCon US 2013.

blogTest

Test

bss_lln_2019

My working copy of Bioinformatics Summer School 2019

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

cs224n-1

Solutions to CS224n: Natural Language Processing with Deep Learning assignments.

esm

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

foam-template

Foam workpace template

ghPage

Test github page from Rmarkdown

ICLR2020

Virtual ICLR 2020

irisSimpson

Simpson's paradox in the Iris dataset

Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

lime

Lime: Explaining the predictions of any machine learning classifier

minimum-viable-data-scientist

notes

pyob

Pythonic Objects

sha-rnn

working copy of https://github.com/Smerity/sha-rnn

slides

smyth7.github.ioXX

Website

tape

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.

tutorials

workshops

A few exercises for use at events.