philippemoussalli Goto Github PK

beam

Apache Beam is a unified programming model for Batch and Streaming data processing.

biomedical-data-analysis

Different projects involving the analysis and classification of Biomedical data

computer-vision

Personal projects showcasing different applications of computer vision

data-mining-and-artificial-neural-networks-

Exercises with a focus on theoretical understanding and hands-on experience on Neural Networks and different supervised and unsupervised machine learning algorithms as part of a course taught at KU Leuven.

dbt-tutorial

deep-learning-pipeline-for-radiology-department-of-uz-leuven-hospital

Design project for implementing a clinical pipeline to automate the process of delineation of brain tumors

ds_salary_proj

Repo for the data science salary prediction of the Data Science Project From Scratch video on my youtube

javaprogram

learn git

learnopencv

Learn OpenCV : C++ and Python Examples

llama-hub

A library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain

ml-notes-in-markdown

Machine learning notes that make your reading easy

mlengine-boilerplate

Repository to quickly get you started with new Machine Learning projects on Google Cloud Platform. More info(slides):

monai

AI Toolkit for Healthcare Imaging

pix-plot

A WebGL viewer for UMAP or TSNE-clustered images

real-time-peak-detection-algorithm-for-a-synchronized-intestinal-electrical-stimulation

The aim was to implement a real-time algorithm that detects the peaks of the intestinal slow waves. The algorithm is used on an implantable IPG chip for treating diabetes and obesity.

robyn

Robyn is an experimental, automated and open-sourced Marketing Mix Modeling (MMM) package from Facebook Marketing Science. It uses various machine learning techniques (Ridge regression, multi-objective evolutionary algorithm for hyperparameter optimisation, gradient-based optimisation for budget allocation etc.) to define media channel efficiency and effectivity, explore adstock rates and saturation curves. It's built for granular datasets with many independent variables and therefore especially suitable for digital and direct response advertisers with rich dataset.

statistical-data-analysis

R exercise sessions on multivariate statistical methods for data analysis as part of the course "Statistical Data Analysis" taught at KU Leuven