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

Protein Graph Library

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

Precision Medicine Knowledge Graph (PrimeKG)

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

Knowledge Graph Toolkit

Label line using matplotlib.

Mondo Disease Ontology

Quickly adjust U.S. dollars for inflation using the Consumer Price Index (CPI)

CSKG: The CommonSense Knowledge Graph

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