Gino Del Ferraro's Projects
Udacity nanodegree: AI for Trading
Content for Udacity's AI in Trading NanoDegree.
Static Belief Propagation - Message Passing algorithms for the computation of the magnetization and correlation, at any temperature, in both the spin-glass and ferromagnetic Ising model
Signal Processing analysis of sender-receiver causal brain networks and modulator sites reveals the mechanism behing brain communication and neuromodulation.
Codes to identify the nodes with the largest collective influence for both directed and undirected graphs
A repository with solutions to the assignments on Andrew Ng's machine learning MOOC on Coursera
Repo for the Deep Learning Nanodegree Foundations program.
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Application of deep learning tools to identify modulators in brain networks
Movement classification using Deep Learning on micro-EcoG monkeys' neural data. All the codes are easily extendable to sleep classification for the sleep data.
This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai
Notebooks for learning deep learning
Machine Learning (DS-GA 1003)
A MNIST-like fashion product database. Benchmark :point_right:
All the bash scripts for the brain fMRI pre-processing analysis of BOLD time series
Construction of functional network from fMRI tasked-based data
Graph Machine Learning course, Xavier Bresson, 2023
Python and Matlab code for the pre-processing and signal processing of Neuropixel LFP signal and single cell analysis. Goal: study the effect of Ketamine in the HPC and PFC
LFP analyses for the FF task.
This are some notes written by me and borrowed from others on git/the web for a course on Machine Learning that I creating to teach. Content created by others will always be credited.
Notebooks for "A high bias low-variance introduction to Machine Learning for physicists."
This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera
Include for each Part in the ND Program the applications code.
Network of Networks construction via percolation procedure
A practical approach to learning machine learning.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Notebooks for "Python for Signal Processing" book
Python Data Science Handbook: full text in Jupyter Notebooks
Tensors and Dynamic neural networks in Python with strong GPU acceleration