Stars
Python script that downloads all pubmed abstracts corresponding to user-specified keyword searches, by performing automated NCBI E-utility queries
A collaborative learning framework for empowering biomedical research
Domain adaptation toolbox compatible with scikit-learn and pytorch
[IJCAI 2024] Redefining Contributions: Shapley-Driven Federated Learning
A library for mechanistic interpretability of GPT-style language models
Suno AI's Bark model in C/C++ for fast text-to-speech
A blazing fast inference solution for text embeddings models
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 🚀
👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)
GrAIdient is a deep learning framework that aims at challenging the way we train and run models.
scikit-learn: machine learning in Python
Train a model to predict gene expression from histology slides.
A Python implementation of the DESeq2 pipeline for bulk RNA-seq DEA.
Making your benchmark of optimization algorithms simple and open
Cross-silo Federated Learning playground in Python. Discover 7 real-world federated datasets to test your new FL strategies and try to beat the leaderboard.
A high-level federated learning Python library used to run complex federated learning experiments at scale on a Substra network
Numba-based implementation of t-Stochastic Neighbor Embedding
Large Scale Non maximum Suppression. This project implements a O(nlog(n)) approach for non max suppression, useful for object detection ran on very large images such as satellite or histology, when…
Code and manuscript for "Efficient Per-Example Gradient Computations in Convolutional Neural Networks"
Low-level Python library used to interact with a Substra network
My poor implementations of a few successful neural networks.
TensorFlow-based neural network library