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Andrea Possenti's Projects

afraid-to-commit icon afraid-to-commit

Don't be afraid to commit - a workshop/tutorial for inexperienced Python/Django developers who would like to contribute more to the projects they use.

bitesizebayes icon bitesizebayes

An introduction to Bayesian statistics using Python and (coming soon) R.

causalnex icon causalnex

A Python library that helps data scientists to infer causation rather than observing correlation.

decagon icon decagon

Graph convolutional neural network for multirelational link prediction

gat icon gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

goatools icon goatools

Python library to handle Gene Ontology (GO) terms

kedro icon kedro

A Python framework for creating reproducible, maintainable and modular data science code.

mars icon mars

Discovering novel cell types across heterogenous single-cell experiments

mask_rcnn icon mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

pytorch-gat icon pytorch-gat

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

pytorch-lightning icon pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

pytorch-unet_hdimgs icon pytorch-unet_hdimgs

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

unet icon unet

unet for image segmentation

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