Benjamin Ricaud (bricaud)

bricaud

Geek Repo

Company:University of Tromsø, Norway

Location:Tromsø Norway

Home Page:https://bricaud.github.io

Twitter:@GBR_data

Github PK Tool:Github PK Tool


Organizations
graphnex
NGMLGroup
SFI-Visual-Intelligence
uit-dtil
uit-hdl
uitml

Benjamin Ricaud's repositories

graphexp

Interactive visualization of the Gremlin graph database with D3.js

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gremlin-server

A Docker container with a gremlin server

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tree-of-life-dataset

A tree of life or phylogenetic tree dataset, under Creative Commons.

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GeiloWinterSchoolGraphCourse

Material for the course on graphs and graph signal processing given during the Winter School at Geilo, January 2024

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personal-blog

Benjamin Ricaud's blog (using Jekyll)

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PatternRecognition

Slides from the course

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webcam_and_raspberrypi

Code for image and face detection using a webcam. Using Python and a Raspberry pi.

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bricaud.github.io

Personal website

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WebConfTuto

Tutorials for the WebConf mini lecture on network analysis

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graph-analysis-tutorial

Some Python code to analyse and explore graphs and data

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GraphMLTutorialNLDL22

Tutorial: Introduction to Graph Machine Learning, with Jupyter notebooks

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heat_diff_ex

Fork from Tobias' work on diffusion on a graph

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Image-Processing-Exercises

Exercises for the UiT Image Processing course FYS-2010

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Imageprocessingcourse_demos

Demos for the Image processing course at UiT

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jpgcompression

Jupyter notebooks to understand the jpeg compression

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littleballoffur

Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)

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ML_tutorial

Tutorials on machine learning with Google Colab

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mlresearch.github.io

Machine Learning Research Homepage

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NoseNet

NoseNet, neural network based on the olfactory system of the fly.

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ntds_2018

Material for the EPFL master course "A Network Tour of Data Science", edition 2018.

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PatternRecognition_2022

Material for Pattern Recognition course

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pygsp

Graph Signal Processing in Python

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pysad

Python module for the exploration of large graphs

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randomfun

Notebooks and various random fun

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spiky-simulation

Methods applying spikyball sampling to synthetic datasets

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SVMminilecture

Material for a mini-lecture on SVM (linear version). Slides and Jupyter notebook wtih Python and scikit-learn

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Twitter_controversies

Data collection from Twitter using snowball sampling and graph of users

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twittexp

Twitter exploration code. collecting and analyzing tweets, retweets, mentions

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uit-dtil.github.io

Digital Technology Innovation Lab

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v233

Proceedings of the Northern Lights Deep Learning Workshop 2024

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