Final Project from the course "Probabilistic Machine Learning" @ Data Science & Scientific Computing, University of Trieste, year 2020/2021, written in ipynb.
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Updated
Oct 23, 2021 - Jupyter Notebook
Final Project from the course "Probabilistic Machine Learning" @ Data Science & Scientific Computing, University of Trieste, year 2020/2021, written in ipynb.
Exploration of major kinds of statistical learning models and algorithms used in data analysis. Clustering, Neural Networks, Probabilistic ML are a few of the topics.
Code for the research paper Meta-learning with hierarchical models based on similarity of causal mechanisms
We present a probabilistic model for neural spike counts that can capture arbitrary single neuron and joint statistics with their modulation by external covariates.
PyTorch implementation of a variational autoencoder (VAE) for use on multi-channel 2D data such as images
Coordinate Ascent Variational Inference for Dirichlet Process Mixtures of Gaussians
Repository of my notes and exercises on the course of Probabilistic Machine Learning by Prof. Luca Bortolussi at the University of Trieste in the year 2020/2021
Predicting Mortality after Transcatheter Aortic Valve Replacement using Preprocedural CT [Scientific Reports 2024]
Planning to Fairly Allocate: Probabilistic Fairness in the Restless Bandit Setting (KDD 2023)
Awesome-spatial-temporal-scientific-machine-learning-data-mining-packages. Julia and Python resources on spatial and temporal data mining. Mathematical epidemiology as an application. Most about package information. Data Sources Links and Epidemic Repos are also included.
Multi-fidelity probability machine learning
Machine Learning Code as per my understanding
Repository for the Probabilistic Machine Learning labs/practica (@ UniTS, Spring 2023)
The official repository for AAAI 2024 Oral paper "Structured Probabilistic Coding"
This is the official code for calibration in multi-hypothesis human pose estimation
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