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2022-essential-maths

2022 course materials for DTC essential maths

30-days-of-python

30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

3pnn

Code and source data used in the article "3D printed biomimetic cochleae and machine learning co-modelling provides clinical informatics for cochlear implant patients" (Lei et al. Nature Communications, 2021). The code is used for modelling the relationship between electric field imaging (EFI) profiles and the electro-anatomical features of cochleae using a multilayer perceptron (MLP) artificial neural network (NN) model.

ae_ts

Auto encoder for time series

arrhythmiapredictionproject

bda_course_aalto

Bayesian Data Analysis course at Aalto

bhub_sim

A repository for simulating islets of Langerhans beta-cells hub phenomenon. This repository supports the results published in https://doi.org/10.1080/19382014.2018.1493316.

callysto-sample-notebooks

chonl

chonlei.github.io

Chon Lok Lei's research personal website.

clinicadl

Framework for the reproducible processing of neuroimaging data with deep learning methods

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

dbda-python

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

deep-learning-with-python

Deep learning codes and projects using Python

deep-learning-wizard

Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.

dl-rp-mds

Source code and data used in the article "Integration of Deep Learning with Ramachandran Plot Molecular Dynamics Simulation for Genetic Variant Classification" (Tam et al. iScience, 2023).

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

gdl_tutorial_turinginst

Material for the hands-on tutorial on Graph Deep Learning held at the Alan Turing Institute

machine-learning-with-python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

multimodal-toolkit

Multimodal model for text and tabular data with HuggingFace transformers as building block for text data

neural-ode-ion-channels

Code and figures for "Neural network differential equations for ion channel modelling".

paper-ecg

OSU Capstone Project 2020-21 - Natalie & Julian

playground

Play with neural networks!

plotdigitizer

A Python utility to digitize plots.

pyabf

pyABF is a Python package for reading electrophysiology data from Axon Binary Format (ABF) files

python-machine-learning-book-3rd-edition

The "Python Machine Learning (3rd edition)" book code repository

sanpy

stanford-cs-221-artificial-intelligence

VIP cheatsheets for Stanford's CS 221 Artificial Intelligence

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning