baldassarreFe

Federico Baldassarre's repositories

deep-koalarization

Keras/Tensorflow implementation of our paper Grayscale Image Colorization using deep CNN and Inception-ResNet-v2 (https://arxiv.org/abs/1712.03400)

Language:PythonMIT409 21 14

Explainability techniques for Graph Networks, applied to a synthetic dataset and an organic chemistry task. Code for the workshop paper "Explainability Techniques for Graph Convolutional Networks" (ICML19)

Language:Jupyter Notebook114 7 3

pytorch-densenet-tiramisu

PyTorch implementation of DenseNet and FCDenseNet

Language:PythonMIT53 4 2

graphqa

Protein quality assessment using Graph Convolutional Networks

Language:Python27 4 7

ws-vrd

Language:Jupyter Notebook16 5 7

rpl-workshop

Workshop on GPU and slurm usage at RPL (KTH)

Language:Jupyter Notebook8 40

iclr-osc-22

Language:Jupyter Notebook6 30

torchgraphs

A PyTorch library for Graph Convolutional Networks.

Language:Python5 3 1

performer-gat-shapenet

Performer vs. Graph Attention Network on ShapeNet with GradCAM explanations.

Language:Python2 30

dd2221-data-intensive-computing

Assignments for the course DD2221 Data Intensive Computing at KTH (Fall 2017)

Language:Jupyter Notebook1 30

dd2424-deep-learning

Assignments for the course DD2424 Deep Learning in Data Science at KTH 2017

Language:Jupyter Notebook1 50

freeipa-vbox

Virtualized FreeIPA setup with internal DNS, CA and replication.

Language:Shell1 30

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Apache-2.0100