chonlei Goto Github PK
Name: Chon Lok Lei
Type: User
Company: University of Macau
Bio: Assistant Professor at the University of Macau. DPhil at the University of Oxford. BSc at Imperial College.
Twitter: chonloklei
Location: Macao
Name: Chon Lok Lei
Type: User
Company: University of Macau
Bio: Assistant Professor at the University of Macau. DPhil at the University of Oxford. BSc at Imperial College.
Twitter: chonloklei
Location: Macao
2022 course materials for DTC essential maths
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
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.
Auto encoder for time series
Bayesian Data Analysis course at Aalto
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.
Chon Lok Lei's research personal website.
Framework for the reproducible processing of neuroimaging data with deep learning methods
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
Deep learning codes and projects using Python
Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.
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).
List of Data Science Cheatsheets to rule the world
Material for the hands-on tutorial on Graph Deep Learning held at the Alan Turing Institute
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Multimodal model for text and tabular data with HuggingFace transformers as building block for text data
Code and figures for "Neural network differential equations for ion channel modelling".
OSU Capstone Project 2020-21 - Natalie & Julian
Play with neural networks!
A Python utility to digitize plots.
pyABF is a Python package for reading electrophysiology data from Axon Binary Format (ABF) files
The "Python Machine Learning (3rd edition)" book code repository
VIP cheatsheets for Stanford's CS 221 Artificial Intelligence
VIP cheatsheets for Stanford's CS 229 Machine Learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
A declarative, efficient, and flexible JavaScript library for building user interfaces.
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TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
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Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.