LucaCappelletti94
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A latent text-to-image diffusion model
Google Research
A game theoretic approach to explain the output of any machine learning model.
We are building an open database of COVID-19 cases with chest X-ray or CT images.
Introduction to Deep Neural Networks with Keras and Tensorflow
Fast and Easy Infinite Neural Networks in Python
Code for "High-Precision Model-Agnostic Explanations" paper
LLM-based ontological extraction tools, including SPIRES
machine learning with logical rules in Python
A knowledge graph and a set of tools for drug repurposing
🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations
Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.
Building a Bayesian deep learning classifier
Precision Medicine Knowledge Graph (PrimeKG)
Label line using matplotlib.
Quickly adjust U.S. dollars for inflation using the Consumer Price Index (CPI)
TigerLily: Finding drug interactions in silico with the Graph.
Mediterranean Machine Learning school tutorials
OMOP2OBO: A Python Library for mapping OMOP standardized clinical terminologies to Open Biomedical Ontologies
Tutorial and hands-on notebook on using the Knowledge Graph Toolkit (KGTK)
Write reproducible code for getting and processing ChEMBL
A presention of core concepts and a data generator making easier using tabular data with TensorFlow and Keras
Functional Associations using Variational Autoencoders
Support Vector Machine (SVM) library for Python with GPU
