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Name: Álvaro Deleglise
Type: User
Twitter: AlvaroDeleglise
Location: Argentina
Name: Álvaro Deleglise
Type: User
Twitter: AlvaroDeleglise
Location: Argentina
Applied Machine Learning with Python
Tools for Computational Neuroscience in Python
Artificial neural networks for brain networks
Applied Deep Learning
This project contains the code for the OUP book Data Science & Complex Networks
Code supporting 'Geometric constraints on human brain function'
BrainSpace is an open-access toolbox that allows for the identification and analysis of gradients from neuroimaging and connectomics datasets | available in both Python and Matlab |
Repository for the combinedFC project (Sanchez-Romero & Cole, 2019) https://doi.org/10.1101/841890
Library for detecting and visualizing community structure in graphs
COMS W4995 Applied Machine Learning - Spring 18
COMS W4995 Applied Machine Learning - Spring 19
COMS W4995 Applied Machine Learning - Spring 20
Python-based tutorial on Connectome-based Predictive Modeling (CPM), originally prepared for Georgetown Methods Lab.
List of Computer Science courses with video lectures.
This repo hosts an example of a full data pipeline that shows how to implement CI/CD on Azure DevOps by testing data quality with great_expectations and code quality with SonarQube
Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation
The implementation of the algorithm proposed in A Principled Massive-Graph Similarity Function, and improvement of this algorith.
Interpret dynamic functional connectivity in brain imaging by comparing methods
Easy creation of Lausanne2008 atlases
Brain decoding using graph convolutional network on fMRI time-series
A package for computing Graph Kernels
An exploration of how to use inter-subject representational similarity analysis (is-RSA) to study individual differences in brain activity during naturalistic neuroimaging.
Leading Eigenvector Dynamics Analysis
A comprehensive collection of recent papers on graph deep learning
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Introduction to Machine learning with Python, 4h interactive workshop
Intermediate Machine Learning with Scikit-learn, 4h interactive workshop
Advanced Machine Learning with Scikit-learn part I
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 is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
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.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.