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Name: Laura Sudupe
Type: User
Company: KAUST
Bio: Computational biologist
Name: Laura Sudupe
Type: User
Company: KAUST
Bio: Computational biologist
A collection of research papers and software related to explainability in graph machine learning.
BIOC0016 Machine Learning practical
Spatially Resolved Gene Expression Prediction from H&E Histology Images via Bi-modal Contrastive Learning
Scripts to analyze our BMN data
Machine learning project
Unravelling the molecular activation of the reparative cardiac fibroblasts after myocardial infarction
ChemGCN code with modification for multiple features predictions where the model adapted to predict multiple features with fine-tuning with last fully connected layer
Circulation data ST pipeline
Examples of non-trivial conda environments targeting GPUs and HPC
Neural Networks and Deep Learning, NUS CS5242, 2021
A Snakemake workflow for performing differential expression analyses (DEA) on (multimodal) sc/snRNA-seq data powered by the R package Seurat.
Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.
Deep learning predicts patients’ outcome and mutations from H&E slides in GIST
A curated list of graph data augmentation papers.
Train a model to predict gene expression from histology slides.
First aproach to machine learning proyect with scikit-learn
Laura Sudupe
A resource for learning about Machine learning & Deep Learning
Documentos de la maestría en Inteligencia Artificial de la UNIR
This is the repository for the manuscript "Predictive Modelling of Highly Multiplexed Tumour Tissue Images by Graph Neural Networks" by Martin-Gonzalez et al.
End-to-end analysis of spatial multi-omics data
Pytorch Geometric Tutorials
Realización de ejercicios para la asignatura de regresión, modelos y métodos
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.