Emanuele Olivetti

kaggle_pbr. My best submission to the Kaggle competition "Predicting a Biological Response", ranked 17th over 711 teams.

git-annex_tutorial. A tutorial for using git-annex to shared large datasets and code within the Lab.

convert_matlab73_hdf5. Convert Matlab v7.3 '.mat' files (i.e. HDF5 file format) into Python's pickle or numpy format.

kernel_two_sample_test. A python implementation of the kernel two-samples test as in Gretton et al 2012 (JMLR).

kaggle_ops. My best submission to the Kaggle competition "Online Product Sales", ranked 21th over 366 teams.

minibatch_kmeans. Mini-batch K-means algorithm.

flowgorithm_linux. Installation instruction to use FlowGoRithm on Linux / Ubuntu 20.04

PyCoverTree. Python library of cover tree (http://hunch.net/~jl/projects/cover_tree/cover_tree.html) for fast nearest neighbor querying

dominant_set. Dominant set clustering. See 'Dominant Sets and Pairwise Clustering', by Massimiliano Pavan and Marcello Pelillo, PAMI 2007.

cwt. Continuous Wavelet Transform. Based on the work of Roger Fearick.

fastPFP. Implementation of the fastPFP approximate subgraph matching algorithm, as described in http://arxiv.org/abs/1207.1114

jstsp2015. This is the code associated to the 2015 submission to JSTSP

DSPFP. This is a Python implementation of the Doubly Stochastic Projected Fixed Point (DSPFP) algorithm for solving the Quadratic Assignment Problem / Graph Matching..

inference_with_classifiers. This repository collects code that implements algorithms for making inferential statements from classifiers.

cumulants. Python

introduction_to_Git. Material to teach Git at introductory level.

pypbc. Python code to easily access PBC2009 datasets

tensorial_kernel. Python

scikit-learn. scikit-learn: machine learning in Python

fastCBPTST. Fast Cluster-Based Permutation Two-Sample Test (CBPTST) in Python.

python-simulated-annealing. Python module for implementing the Simulated Annealing optimization technique.

ICANN2011-MEG. Python

Bayes_factor_multiclass. Python

graph_kernel. Graph Kernel, from a couple of files of svegapons

Fiasco. A fractal image compression library originally written by Ullrich Hafner

prni2012_multiclass_test. Code of the experiments of the paper "Testing Multiclass Pattern Discrimination" accepted at PRNI2012

prni2012_dissimilarity. Code of the experiments of the paper "The Approximation of the Dissimilarity Projection" accepted at PRNI2012

deep-learning-pytorch. Deep Learning with PyTorch

prni2016_classification_test. This is the code of the experiments (simulations) presented in the paper accepted at PRNi 2016 "Classification-based Tests for Neuroimaging Data Analysis: Comparison of Best Practices", by Muhaddisa Barat Ali and Emanuele Olivetti.

Bayes-factor-multi-subject. Python

fractal_dimension. Investigation on the fractal dimension of segmented white matter bundles.

euclidean_embeddings. Scalable Euclidean embeddings for large datasets.

git-annex-missing. Check whether the content of a directory is already inside git-annex or not.