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Stable Differentiable Causal Discovery (SDCD)
Multimodal prototyping for cancer survival prediction - ICML 2024
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.
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.