LamineTourelab
Data Scientist interested in interpretable machine learning, computer vision.
INEM - Institut Necker Enfants MaladesParis, France
Pinned Repositories
AI-for-medicine-specialization
Medical Images processing
awesome-computer-vision
A curated list of awesome computer vision resources
awesome-multi-omics
List of software packages for multi-omics analysis
Explainable-AI
In this repository you will fine explainability of machine learning models.
grpregOverlap
Regularization paths of linear, logistic, Poisson, or Cox models with overlapping grouped covariates
ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
MOGONET
MOGONET (Multi-Omics Graph cOnvolutional NETworks) is multi-omics data integrative analysis framework for classification tasks in biomedical applications.
OmiVAE
End-to-end deep learning model for low dimensional latent space extraction and multi-class classification on multi-omics datasets.
SingleCell-rnaseq-tools
This repository contains single cell analysis pipelines.
Tutorial
Tutorials on machine learning, artificial intelligence in general and in biomedical research.
LamineTourelab's Repositories
LamineTourelab/MOGONET
MOGONET (Multi-Omics Graph cOnvolutional NETworks) is multi-omics data integrative analysis framework for classification tasks in biomedical applications.
LamineTourelab/Tutorial
Tutorials on machine learning, artificial intelligence in general and in biomedical research.
LamineTourelab/AI-for-medicine-specialization
Medical Images processing
LamineTourelab/Explainable-AI
In this repository you will fine explainability of machine learning models.
LamineTourelab/OmiVAE
End-to-end deep learning model for low dimensional latent space extraction and multi-class classification on multi-omics datasets.
LamineTourelab/SingleCell-rnaseq-tools
This repository contains single cell analysis pipelines.
LamineTourelab/grpregOverlap
Regularization paths of linear, logistic, Poisson, or Cox models with overlapping grouped covariates
LamineTourelab/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
LamineTourelab/awesome-computer-vision
A curated list of awesome computer vision resources
LamineTourelab/awesome-multi-omics
List of software packages for multi-omics analysis
LamineTourelab/dcai-lab
Lab assignments for Introduction to Data-Centric AI, MIT IAP 2023 👩🏽💻
LamineTourelab/LamineTourelab.github.io
LamineTourelab/lime
Lime: Explaining the predictions of any machine learning classifier
LamineTourelab/Machine-Learning-with-Graphs
Graphs are a general language for describing and analyzing entities with relations/interactions.
LamineTourelab/NetICS-multi-omics
NetICS: network-based integration of multi-omics data for prioritizing cancer genes
LamineTourelab/shapash
🔅 Shapash makes Machine Learning models transparent and understandable by everyone
LamineTourelab/Streamlit
Streamlit App with restoration images algorithm (on going)
LamineTourelab/Deep-Learning-with-TensorFlow-and-Keras-3rd-edition
Deep Learning with TensorFlow and Keras – 3rd edition, Published by Packt
LamineTourelab/gcp-for-bioinformatics
GCP for Bioinformatics Researchers
LamineTourelab/Interpretable-Machine-Learning-with-Python
Interpretable Machine Learning with Python, published by Packt
LamineTourelab/interpretable-ml-book
Book about interpretable machine learning
LamineTourelab/LamineTourelab
LamineTourelab/machine-learning-book
Code Repository for Machine Learning with PyTorch and Scikit-Learn