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ML Collections is a library of Python Collections designed for ML use cases.
What you need to process the Quarterly DepMap-Omics releases from Terra
Deep probabilistic analysis of single-cell and spatial omics data
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable,…
LLM-based ontological extraction tools, including SPIRES
NMTF-link is designed for computing link predictions using a generalized Non-negative Matrix Tri-Factorization (NMTF) based method.
Home of the Renovate CLI: Cross-platform Dependency Automation by Mend.io
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
🗺️ Community curated and predicted equivalences and related mappings between named biological entities that are not available from primary sources.
Using ChatGPT to build a Kedro ML pipeline and Streamlit frontend
Github repo for the Experimental Factor Ontology (EFO)
Github action for installing and configuring Poetry
A Python implementation of the DESeq2 pipeline for bulk RNA-seq DEA.
Low-level Python library used to interact with a Substra network
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.
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Official Keras & PyTorch Implementation and Pre-trained Models for TransVW
Official code for "Boundary loss for highly unbalanced segmentation", runner-up for best paper award at MIDL 2019. Extended version in MedIA, volume 67, January 2021.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
NHSX and the British Society of Thoracic Imaging (BSTI) have formed a joint partnership in order to create a national database of chest X-ray and CT images. This is to enable the validation and dev…
A PyTorch implementation of EfficientNet
PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.