ibarrond

AdvancedStatInference

Naive Bayes and Bayesian Linear Regression from scratch, classification of MNIST and CIFAR10 datasets

DataSciencePortfolio

Data Science portfolio of ipython Notebooks with several Machine Learning algorithms. They follow a structured data science methodology to face various challenges

DeepLearning

Deep Neural Networks implemented from scratch. Convolutional Neural Networks (CNN) implemented using Tensowflow.

funshade

Function Secret Sharing for Secure Thresholded Distance Metric Evaluation. The code accompanying the paper.

knowhow

A series of notebooks, lists, tips and documents covering my knowhow on ML, DS and programming. Migrated to the blog.

LearningCython

A concise guide for Cython

Pyfhel

PYthon For Homomorphic Encryption Libraries, perform encrypted computations such as sum, mult, scalar product or matrix multiplication in Python, with NumPy compatibility. Uses SEAL/PALISADE as backends, implemented using Cython.

reparametrization-BN

Reparametrization of Fully Connected and Convolutional layers to completely absorb subsequent Batch Normalization layers. Example using Tensorflow.

SEAL4Pyfhel

Original SEAL homomorphic encryption library, slightly modified to use it as dependency for Pyfhel.

VariationalAutoencoders

Comparison of Variational Autoencoders with Bayesian Neural Networks. Accuracy, Latent space, Reconstruction and White Noise filtering.

ibarrond/Pyfhel

PYthon For Homomorphic Encryption Libraries, perform encrypted computations such as sum, mult, scalar product or matrix multiplication in Python, with NumPy compatibility. Uses SEAL/PALISADE as backends, implemented using Cython.

ibarrond/VariationalAutoencoders

Comparison of Variational Autoencoders with Bayesian Neural Networks. Accuracy, Latent space, Reconstruction and White Noise filtering.

ibarrond/funshade

Function Secret Sharing for Secure Thresholded Distance Metric Evaluation. The code accompanying the paper.

ibarrond/DataSciencePortfolio

Data Science portfolio of ipython Notebooks with several Machine Learning algorithms. They follow a structured data science methodology to face various challenges

ibarrond/reparametrization-BN

Reparametrization of Fully Connected and Convolutional layers to completely absorb subsequent Batch Normalization layers. Example using Tensorflow.

ibarrond/SEAL4Pyfhel

Original SEAL homomorphic encryption library, slightly modified to use it as dependency for Pyfhel.

ibarrond/LearningCython

A concise guide for Cython

ibarrond/AdvancedStatInference

Naive Bayes and Bayesian Linear Regression from scratch, classification of MNIST and CIFAR10 datasets

ibarrond/knowhow

A series of notebooks, lists, tips and documents covering my knowhow on ML, DS and programming. Migrated to the blog.

ibarrond/DeepLearning

Deep Neural Networks implemented from scratch. Convolutional Neural Networks (CNN) implemented using Tensowflow.

ibarrond/PyCrCNN

Privacy-Preserving Convolutional Neural Networks using Homomorphic Encryption

ibarrond/Amadeus

Technical challenge for a Data Scientist position in Amadeus

ibarrond/BeAVoice

Be a Voice, not an Echo. AI, Data Science and Cryptography blog

ibarrond/colmade

Collaborative Masked Decryption

ibarrond/demo_z8z

Demo using Concrete library to implement exact homomorphic computation with 3-bit integers

ibarrond/flask_app

A small blog containing images and categotizing them. An excuse to learn flask.

ibarrond/grid

Two dimensional grid data structure

ibarrond/ibarrond

Config files for my GitHub profile.

ibarrond/ibarrond.github.io

Be a Voice, not an Echo - a professional blog

ibarrond/MachLearnMATLAB

Machine Learning models and algorithms implemented in MATLAB

ibarrond/parmesan

ibarrond/PSUControl

Software system to monitor and control the Power Supply of a radar using a Netburner microcontroller

ibarrond/static-jekyll-webpage