bricaud Goto Github PK
Name: Benjamin Ricaud
Type: User
Company: University of Tromsø, Norway
Bio: Graphs and networks, data science, machine learning, signal processing, mathematics.
Twitter: GBR_data
Location: Tromsø Norway
Benjamin Ricaud's Projects
antarticsonardata
Jupyter notebooks for the analysis of sonar data. Made during the Data Jam Days at EPFL on 24-25 Nov. 2017
brainviz
Brain visualization from EPFL lab data (not updated anymore)
brainviz2
Brain network visualization with D3.js
bricaud.github.io
Personal website
cosmosdb-test
Various tests for the CosmosDB graph
geilowinterschoolgraphcourse
Material for the course on graphs and graph signal processing given during the Winter School at Geilo, January 2024
graph-analysis-tutorial
Some Python code to analyse and explore graphs and data
graphexp
Interactive visualization of the Gremlin graph database with D3.js
graphmltutorialnldl22
Tutorial: Introduction to Graph Machine Learning, with Jupyter notebooks
gremlin-server
A Docker container with a gremlin server
gremlin-server-3.2.5-rest
Gremlin server 3.2.5 with a demo graph
hcmails
Analysis of H. Clinton emails using a graph of words. Python and Jupyter notebook.
hearingtestsvideo
A python program using vlc bindings to visualize videos for psychoacoutical tests
heat_diff_ex
Fork from Tobias' work on diffusion on a graph
image-processing-exercises
Exercises for the UiT Image Processing course FYS-2010
imageprocessingcourse_demos
Demos for the Image processing course at UiT
jpgcompression
Jupyter notebooks to understand the jpeg compression
littleballoffur
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
memetracker
MemeTracker, Python notebook for detecting memes in tweets. (dataset not provided)
memeviz
d3.js visualizations for the Memetracker project
mjfgraphvis
Graph visualization using D3.js (The dataset is not provided).
ml_tutorial
Tutorials on machine learning with Google Colab
mlresearch.github.io
Machine Learning Research Homepage
nosenet
NoseNet, neural network based on the olfactory system of the fly.
notebooks
IPython notebooks
ntds_2018
Material for the EPFL master course "A Network Tour of Data Science", edition 2018.
ocr-classif
Python scripts for extracting texts from pdf documents
optimallyconcentratedgabor
Optimally concentrated Gabor transform for localized time-frequency components
patternrecognition
Slides from the course
patternrecognition_2022
Material for Pattern Recognition course
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