Emanuele Olivetti (emanuele)

emanuele

Geek Repo

Github PK Tool:Github PK Tool


Organizations
FBK-NILab

Emanuele Olivetti's repositories

git-annex_tutorial

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

minibatch_kmeans

Mini-batch K-means algorithm.

DSPFP

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

Language:PythonStargazers:9Issues:3Issues:0

flowgorithm_linux

Installation instruction to use FlowGoRithm on Linux / Ubuntu 20.04

inference_with_classifiers

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

Language:MATLABStargazers:3Issues:3Issues:0

fastCBPTST

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

Language:PythonStargazers:2Issues:2Issues:0

euclidean_embeddings

Scalable Euclidean embeddings for large datasets.

Language:PythonLicense:MITStargazers:1Issues:3Issues:0

fractal_dimension

Investigation on the fractal dimension of segmented white matter bundles.

Language:PythonLicense:MITStargazers:1Issues:2Issues:0

load_trk

A fast loader for TRK (Trackvis) files.

Language:PythonStargazers:1Issues:2Issues:0

deep-learning-pytorch

Deep Learning with PyTorch

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:0Issues:1Issues:0
Stargazers:0Issues:0Issues:0

measure_peaks

Measure the mole fractions a sample with respect to standards using HPLC.

Language:PythonLicense:MITStargazers:0Issues:2Issues:0

micrograd

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

Language:Jupyter NotebookLicense:MITStargazers:0Issues:1Issues:0

ml4nida

ML4NIDA materials

Language:PythonStargazers:0Issues:2Issues:0

numba_auction

Numba implementation of Auction Algorithm for solving linear assignment problem (LAP)

Language:PythonStargazers:0Issues:1Issues:0

numerai-benchmark

Python Code used in publications, for archival purposes only

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:0Issues:0Issues:0

ohbm2020_bayesian

How do we test our hypotheses? A Bayesian approach. OHBM2020 Education course.

Language:TeXStargazers:0Issues:2Issues:0

rbr

Random Bits Regression

Language:CLicense:UnlicenseStargazers:0Issues:1Issues:0

research

Public code & notebooks accompanying our blog posts & YouTube tutorials (https://www.youtube.com/c/PyMCLabs)

Language:Jupyter NotebookLicense:MITStargazers:0Issues:0Issues:0

river

🌊 Online machine learning in Python

Language:PythonLicense:BSD-3-ClauseStargazers:0Issues:0Issues:0

sony_camera_api

sony camera remote api

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

sparse_large_lap

Some tests with very large sparse LAP problems.

Language:PythonStargazers:0Issues:2Issues:0

sslap

Auction Algorithm for Sparse Linear Assignment Problems

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

test_caching

Some test using caching systems

Language:PythonStargazers:0Issues:0Issues:0

test_codespaces

Just to test codespaces.

Stargazers:0Issues:2Issues:0

thor-public

AutoML tools for solving Time-Varying High-Dimensional Ordinal Regression Problems

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

tokenwiser

Bag of, not words, but tricks!

Language:PythonLicense:Apache-2.0Stargazers:0Issues:0Issues:0

torchsort

Fast, differentiable sorting and ranking in PyTorch

Language:PythonLicense:Apache-2.0Stargazers:0Issues:1Issues:0

visual_imagination_data

MEG data about visual imagination. See https://www.kaggle.com/emanuele/visual-imagination-with-meg

Stargazers:0Issues:2Issues:0