thanhtung09t2 Goto Github PK

adaptive-filters

My collection of implementations of adaptive filters.

adaptive-soft-sensor-design

Github repo for the research paper titled "Integrating Adaptive Moving Window and Just-in-Time Learning Paradigms for Soft-Sensor Design"

amlbid

anfis-pytorch

Implementation of ANFIS using the pyTorch framework

bayesopt

BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.

bikekinbo-django

An online marketplace for buy/sell old bikes.

brain-tumor-segmentation

A deep learning based approach for brain tumor MRI segmentation.

continual-learning

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.

cs224u

Code for Stanford CS224u

data-science-on-aws

AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker

eieat-marketplace-django

An online food marketplace where customers can order foods and restaurants can join and publish their menu on the marketplace.

ensemble_projection

Calculate the expected error for a dataset using different model ensemble sizes

hyperbox-classifier

Implementation of classifiers based on hyper-box representation

hypernn

Code Repository for "End-to-End Neural Network Training for Hyperbox-Based Classification" - Accepted at ESANN 2023

inkpca

Incremental kernel PCA

interview-question-data-science-

Interview questions for Data Science jobs

kpca-cv

Cross-validation for kernel PCA

lwpls

Locally-Weighted Partial Least Squares (LWPLS)

machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

naiveautoml

nippy

Semi-automated preprocessing of NIRS data

nougat

Implementation of Nougat Neural Optical Understanding for Academic Documents

online-svr

Implementation of Accurate Online Support Vector Regression in Python.

random-subspace-ensemble

Model-agnostic ensemble approach for supervised learning

rgp

Recursive Gaussian Process regression allows performing GP regression, while also being able to add train the model at runtime

scienceplots

Matplotlib styles for scientific plotting

stable-diffusion

A latent text-to-image diffusion model

staged-recipes

A place to submit conda recipes before they become fully fledged conda-forge feedstocks

tab-ddpm

[ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"

x-transformers

A simple but complete full-attention transformer with a set of promising experimental features from various papers