Nicole Zattarin's repositories
LOB-feature-analysis
Feature engineering of a Limit Order Book. Extraction of features from a LOB in order to analyse the behaviour of trade market.
BERT-Aspect-Based-Sentiment-Analysis
Class for Aspect-term extraction and Aspect-based sentiment analysis with BERT and Adapters
OpenCV-parking-lot-detection
OpenCV C++ model for free parking lot detection with python Tensorflow CNN classifier.
PointCloudCompression
Segmented PointCloud compression with DRACO, DBSCAN, Convolutional Autoencoders and 2D projection
Quantum-Cryptography-protocols
Code for data analysis and processing concerning Quantum Cryptography protocols. Focus on QRNGs and QKD
3D-Object-Classification
Point Cloud- and Voxel-based architectures for ModelNet40 3D classification
co-living-DB
Design and implementation of a database containing all the informations needed to manage a co-living.
COVID19-Italy-phase2-enriched-dataset
Datasets about spread and managing of Covid-19 in Italy during the second wave of pandemia
IoMT-efficient-information-distribution
Analysis of how to reduce information leaking in IoMT scenario by means of ML tools. Test of network functionalities in a lorawan architecture.
MapReduce-kcenters-outliers
Pyspark implementation of k-centers algorithm to deal with big data and outliers
Name-origin-classification
LSTM ethnicity classifier from names, based on wikipedia data
Network-Analysis-Simulation
Computational tools for simulation and analysis of networks. Simulations performed with ns3.
nicolezattarin.github.io
nicolezattarin.github.io
VQE-minimization-strategies
Benchmarks of different minimization algorithms and strategies applied to the VQE model, simulations performed with Qibo
3D-augmented-reality
Collection of examples of 3D applications developed with Unity
Computer-Vision
Computer Vision algorithms with c++ and OpenCV. Algorithms for image processing, objects detection and applications.
Human-Data-Analytics
Collection of deep learning architectures for data analytics. Tensorflow implementation
AudioKWS
Implementation of a small-footprint keyword spotting (KWS) engine using convolutional neural networks (CNNs).
github-cards
The unofficial GitHub Cards. Card for your GitHub profile, card for your GitHub repositories.
makemore
An autoregressive character-level language model for making more things
Neural-Networks-Deep-Learning
Collection of deep learning strategies implemented in PyTorch
NLP-algorithms
Collection of algorithms and models for NLP, such as word embedding, POS tagging, language modelling...
Numerical-Methods-Physics
Numerical methods to solve physics and math problems (e.g. differential equations, integrals, experiment simulation...) using C++ and ROOTCern.
portfolio-optimization
Basic portfolio theory based on multi-variate optimization
qibo
A framework for quantum computing with hardware acceleration.