Pinned Repositories
ambulance-planning
Online scheduling of multi ambulances in a city context, with travel distance and patient priority optimization
deep-koalarization
Keras/Tensorflow implementation of our paper Grayscale Image Colorization using deep CNN and Inception-ResNet-v2 (https://arxiv.org/abs/1712.03400)
graph-network-explainability
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)
graphqa
Protein quality assessment using Graph Convolutional Networks
iclr-osc-22
pytorch-densenet-tiramisu
PyTorch implementation of DenseNet and FCDenseNet
rpl-workshop
Workshop on GPU and slurm usage at RPL (KTH)
ws-vrd
zalando-pytorch
Various experiments on the [Fashion-MNIST](https://github.com/zalandoresearch/fashion-mnist) dataset from Zalando
kPCA-denoising-python
Reproduction of the experiments presented in Kernel PCA and De-noising in Feature Spaces, as a project in DD2434 Machine Learning Advance Course during Winter 2016
baldassarreFe's Repositories
baldassarreFe/deep-koalarization
Keras/Tensorflow implementation of our paper Grayscale Image Colorization using deep CNN and Inception-ResNet-v2 (https://arxiv.org/abs/1712.03400)
baldassarreFe/graph-network-explainability
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)
baldassarreFe/pytorch-densenet-tiramisu
PyTorch implementation of DenseNet and FCDenseNet
baldassarreFe/graphqa
Protein quality assessment using Graph Convolutional Networks
baldassarreFe/ws-vrd
baldassarreFe/rpl-workshop
Workshop on GPU and slurm usage at RPL (KTH)
baldassarreFe/iclr-osc-22
baldassarreFe/torchgraphs
A PyTorch library for Graph Convolutional Networks.
baldassarreFe/performer-gat-shapenet
Performer vs. Graph Attention Network on ShapeNet with GradCAM explanations.
baldassarreFe/dd2221-data-intensive-computing
Assignments for the course DD2221 Data Intensive Computing at KTH (Fall 2017)
baldassarreFe/dd2424-deep-learning
Assignments for the course DD2424 Deep Learning in Data Science at KTH 2017
baldassarreFe/freeipa-vbox
Virtualized FreeIPA setup with internal DNS, CA and replication.
baldassarreFe/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.
baldassarreFe/torchsearchsorted
Pytorch Custom CUDA kernel for searchsorted
baldassarreFe/baldassarreFe
Personal README
baldassarreFe/baldassarreFe.github.io
Personal and academic website
baldassarreFe/CASP14
baldassarreFe/CVE-2018-1111
CVE-2018-1111 DynoRoot
baldassarreFe/deit-sparse
DeiT with sparse activation functions
baldassarreFe/FEP3370-advanced-ethical-hacking
DHCP exploitation with DynoRoot (CVE-2018-1111)
baldassarreFe/graph_nets
Build Graph Nets in Tensorflow
baldassarreFe/neurips2019
Website for the NeurIPS workshop 2019
baldassarreFe/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
baldassarreFe/pytorch-cosine-annealing-with-warmup
baldassarreFe/pytorch-lightning
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate
baldassarreFe/sacred
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
baldassarreFe/TranSalNet
TranSalNet: Towards perceptually relevant visual saliency prediction. Neurocomputing (2022)
baldassarreFe/vision
Datasets, Transforms and Models specific to Computer Vision
baldassarreFe/web
Old website repo, now just a redirect
baldassarreFe/yolov5
YOLOv5 in PyTorch > ONNX > CoreML > TFLite