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Name: Thanh Tung Khuat
Type: User
Bio: I am a software engineer and a researcher in machine learning. I obtained a PhD degree in Data Science from the UTS, Sydney
Location: Sydney, Australia
Name: Thanh Tung Khuat
Type: User
Bio: I am a software engineer and a researcher in machine learning. I obtained a PhD degree in Data Science from the UTS, Sydney
Location: Sydney, Australia
My collection of implementations of adaptive filters.
Github repo for the research paper titled "Integrating Adaptive Moving Window and Just-in-Time Learning Paradigms for Soft-Sensor Design"
Implementation of ANFIS using the pyTorch framework
BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.
An online marketplace for buy/sell old bikes.
A deep learning based approach for brain tumor MRI segmentation.
PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
Code for Stanford CS224u
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
An online food marketplace where customers can order foods and restaurants can join and publish their menu on the marketplace.
Calculate the expected error for a dataset using different model ensemble sizes
Implementation of classifiers based on hyper-box representation
Code Repository for "End-to-End Neural Network Training for Hyperbox-Based Classification" - Accepted at ESANN 2023
Incremental kernel PCA
Interview questions for Data Science jobs
Cross-validation for kernel PCA
Locally-Weighted Partial Least Squares (LWPLS)
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
Semi-automated preprocessing of NIRS data
Implementation of Nougat Neural Optical Understanding for Academic Documents
Implementation of Accurate Online Support Vector Regression in Python.
Model-agnostic ensemble approach for supervised learning
Recursive Gaussian Process regression allows performing GP regression, while also being able to add train the model at runtime
Matplotlib styles for scientific plotting
A latent text-to-image diffusion model
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
[ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
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.