pietramarrone
Visiting Research Scientist @ University of Cambridge https://www.cmd.ch.cam.ac.uk
WaveBreak TherapeuticsCambridge, UK
Pinned Repositories
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.
bioinfo_material
Methods and pipelines for bioinformatics analysis
BiteSizeBayes
An introduction to Bayesian statistics using Python and (coming soon) R.
BlurDetection
A Python-Based Blur Detector using Fast Fourier Transforms
GAT
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
identifying_neurite_by_RRS
RRS code for automated identification of neurite growth in microfluidic device.
mars
Discovering novel cell types across heterogenous single-cell experiments
pytorch-Deep-Learning
Deep Learning (with PyTorch)
Pytorch-UNet_SemanticSegm
Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation
stanford_AI_gnn
Graph Neural Network - Stanford Professional Course
pietramarrone's Repositories
pietramarrone/stanford_AI_gnn
Graph Neural Network - Stanford Professional Course
pietramarrone/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.
pietramarrone/bioinfo_material
Methods and pipelines for bioinformatics analysis
pietramarrone/BiteSizeBayes
An introduction to Bayesian statistics using Python and (coming soon) R.
pietramarrone/BlurDetection
A Python-Based Blur Detector using Fast Fourier Transforms
pietramarrone/causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
pietramarrone/crop_seed_instance_segmentation
pietramarrone/GAT
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
pietramarrone/identifying_neurite_by_RRS
RRS code for automated identification of neurite growth in microfluidic device.
pietramarrone/mars
Discovering novel cell types across heterogenous single-cell experiments
pietramarrone/pytorch-Deep-Learning
Deep Learning (with PyTorch)
pietramarrone/Pytorch-UNet_SemanticSegm
Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation
pietramarrone/decagon
Graph convolutional neural network for multirelational link prediction
pietramarrone/deepfocus
pietramarrone/goatools
Python library to handle Gene Ontology (GO) terms
pietramarrone/hello-world
repository trial
pietramarrone/kedro
A Python framework for creating reproducible, maintainable and modular data science code.
pietramarrone/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
pietramarrone/practical_cheminformatics_tutorials
Practical Cheminformatics Tutorials - Pat Walters
pietramarrone/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!
pietramarrone/pytorch-lightning
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
pietramarrone/pytorch-semseg
Semantic Segmentation Architectures Implemented in PyTorch
pietramarrone/Pytorch-UNet_HDimgs
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
pietramarrone/ThinkBayes
Code repository for Think Bayes.
pietramarrone/unet
unet for image segmentation