Name: Federico Baldassarre
Type: User
Company: Meta AI
Bio: Postdoc @facebookresearch, PhD in Deep Learning @KTH Stockholm
Twitter: baldassarreFe
Location: Paris
Blog: baldassarrefe.github.io
My research focuses on the explainability of deep learning, improving our understanding of modern learning systems from their internal representations to the way they determine a prediction.
Learn more about me and my research on my website.
Connect with me:
ambulance-planning
Online scheduling of multi ambulances in a city context, with travel distance and patient priority optimization
baldassarrefe
Personal README
baldassarrefe.github.io
Personal and academic website
bubble-out
casp14
cve-2018-1111
CVE-2018-1111 DynoRoot
dd2221-data-intensive-computing
Assignments for the course DD2221 Data Intensive Computing at KTH (Fall 2017)
dd2424-deep-learning
Assignments for the course DD2424 Deep Learning in Data Science at KTH 2017
deep-koalarization
Keras/Tensorflow implementation of our paper Grayscale Image Colorization using deep CNN and Inception-ResNet-v2 (https://arxiv.org/abs/1712.03400)
deit-sparse
DeiT with sparse activation functions
dinnerplanner-angular
Porting of dinner planner website into Angular (part of DH2642 @ KTH)
dinnerplanner-html
door-buster
Door Buster! - Project for Interaction Programming and the Dynamic Web (DH2642) at KTH
elastic-news
Recommendation-based news search engine for the course DD2476 at KTH 2017
fep3370-advanced-ethical-hacking
DHCP exploitation with DynoRoot (CVE-2018-1111)
freeipa-vbox
Virtualized FreeIPA setup with internal DNS, CA and replication.
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)
graph_nets
Build Graph Nets in Tensorflow
graphqa
Protein quality assessment using Graph Convolutional Networks
hmmduckhunt
iclr-osc-22
livehacks-hackathon
mlhw1
mlhw2
multi-rotor-auto-tuning
neurips2019
Website for the NeurIPS workshop 2019
performer-gat-shapenet
Performer vs. Graph Attention Network on ShapeNet with GradCAM explanations.
progetto-bellaway
pysyft
Encrypted Deep Learning Library
python-pancakes
Collection of python problems that caught my interest
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
