Chon Lok Lei's repositories
chonlei.github.io
Chon Lok Lei's research personal website.
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
Multimodal-Toolkit
Multimodal model for text and tabular data with HuggingFace transformers as building block for text data
PlotDigitizer
A Python utility to digitize plots.
gdl_tutorial_turinginst
Material for the hands-on tutorial on Graph Deep Learning held at the Alan Turing Institute
DBDA-python
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
variant-classifier-md
Variant classification using MD simulations
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).
2022-essential-maths
2022 course materials for DTC essential maths
paper-ecg
OSU Capstone Project 2020-21 - Natalie & Julian
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.
clinicadl
Framework for the reproducible processing of neuroimaging data with deep learning methods
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.
playground
Play with neural networks!
python-machine-learning-book-3rd-edition
The "Python Machine Learning (3rd edition)" book code repository
Machine-Learning-with-Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Deep-learning-with-Python
Deep learning codes and projects using Python
BDA_course_Aalto
Bayesian Data Analysis course at Aalto
deep-learning-wizard
Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.
Weylus
Use your tablet as graphic tablet/touch screen on your computer.
neural-ode-ion-channels
Code and figures for "Neural network differential equations for ion channel modelling".
pyABF
pyABF is a Python package for reading electrophysiology data from Axon Binary Format (ABF) files
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
stanford-cs-221-artificial-intelligence
VIP cheatsheets for Stanford's CS 221 Artificial Intelligence
TensorFlow-Book
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
AE_ts
Auto encoder for time series