Chon Lok Lei (chonlei)

chonlei

Geek Repo

Company:University of Macau

Location:Macao

Home Page:https://chonlei.github.io

Twitter:@chonloklei

Github PK Tool:Github PK Tool


Organizations
BioInference
CardiacModelling
myokit
pints-team

Chon Lok Lei's repositories

neural-ode-ion-channels

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

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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.

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2022-essential-maths

2022 course materials for DTC essential maths

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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

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AE_ts

Auto encoder for time series

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BDA_course_Aalto

Bayesian Data Analysis course at Aalto

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chonlei.github.io

Chon Lok Lei's research personal website.

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clinicadl

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

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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.

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DBDA-python

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

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Deep-learning-with-Python

Deep learning codes and projects using Python

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deep-learning-wizard

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

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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).

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gdl_tutorial_turinginst

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

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Machine-Learning-with-Python

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

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Multimodal-Toolkit

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

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paper-ecg

OSU Capstone Project 2020-21 - Natalie & Julian

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playground

Play with neural networks!

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PlotDigitizer

A Python utility to digitize plots.

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pyABF

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

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

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

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stanford-cs-221-artificial-intelligence

VIP cheatsheets for Stanford's CS 221 Artificial Intelligence

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stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

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stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

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TensorFlow-Book

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

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variant-classifier-md

Variant classification using MD simulations

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Weylus

Use your tablet as graphic tablet/touch screen on your computer.

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