Name: Carlo Nicolini, PhD
Type: User
Company: Ipazia SpA
Bio: Senior AI scientist in industry with academic background in complex networks, stat. physics, computational neuroscience, LLMs, portfolio optimization.
Twitter: carlonicolini84
Location: Milan, Italy
Blog: http://carlonicolini.github.io/
Carlo Nicolini, PhD's Projects
Collection of algorithms and functions in Matlab for graph theory. WARNING. This package is unmaintained and full of bugs.
brain connectivity toolbox for python
Extension to nilearn to draw beatiful parcellations on brain.
Website for my repository
PySpark phonetic and string matching algorithms
ChatGPT Python Applications integrated with third party libraries and modules
Octave/Matlab code to generate gabors with chirp
Python script to perform the spatially constrained parcellation of functional MRI data as described in Craddock et al., Human Brain Mapp., 33 (9) 2012
Presentazione su CMake
Source code for the CNCSVision repository, experiments and libraries.
Algorithms and functions in Matlab for community detection in networks. Expands BrainConnectivity toolbox
General relativity and differential geometry notes (ITA)
A base example to bring your c++ class hierarchy in cython and create a python module
Solutions to problems sent by dailycodingproblem.com
A set of data tools in Python
A simple and educational implementation of a Gibbs Sampler for continuous probability distributions
glsl-sandbox is a container of self-written GLSL shader meant to work on current GPUs
GraphInsight is a visualization software that lets you explore graph data through high quality interactive representations.
C++ implemenation of the hyperquick algorithm to compute hypergeometric probability
Matlab (and python) wrappers for Infomap community detection code
Create real-time plots in Jupyter Notebooks.
Matlab wrapper for weighted Lancichinetti-Fortunato-Radicchi benchmark graphs
A function to locally reweight adjacency matrix and obtain better dynamics.
Matlab/C++ wrapper around the Vincent Traag's Louvain method.
Optimization of spectral entropies on complex networks
{KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch
An efficient implementation of Partitioned Label Trees & its variations for extreme multi-label classification
A C++ class to help computation of OpenGL projection and modelview matrices starting from points 2D-3D correspondencies
PACO is a tool to build solvers and optimize quality functions on graphs for community detection. PACO comes as both a C++ library and a support for Matlab/Octave mex function as well as a Python library.