Stable Differentiable Causal Discovery (SDCD)

Multimodal prototyping for cancer survival prediction - ICML 2024

Code for training and evaluating AI-ECG models

Extract the Ensembl genes catalog to simple tables

NetworkX-based Python library for representing ontologies

TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Cheatsheets for AI and Machine Learning

Scissor package

Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data

https://www.sc-best-practices.org

scripts and notebooks from sanbomics

Self-contained, minimalistic implementation of diffusion models with Pytorch.

Code associated to the publication: Scaling self-supervised learning for histopathology with masked image modeling, A. Filiot et al., MedRxiv (2023). We publicly release Phikon 🚀

DeepSurv is a deep learning approach to survival analysis.

The bookdown version lives here:

Translating ML into Bayes, one line at a time

A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.

A collection of various deep learning architectures, models, and tips

Avocado is a multi-scale deep tensor factorization model that learns a latent representation of the human epigenome and enables imputation of epigenomic experiments that have not yet been performed.

Bayesian Factorization with Side Information in C++ with Python wrapper

Code for preparing and running the imageCCA method.