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followers: 105.0 following: 376.0 repos: 77.0 gists: 4.0

Name: Robin Thibaut

Type: User

Company: Lawrence Berkeley National Laboratory

Bio: Postdoc Researcher @ Lawrence Berkeley National Laboratory. Machine Learning. Experimental Design. Earth Sciences.

Twitter: RobinThibaut

Location: Berkeley

Blog: https://robinthibaut.github.io

Machine Learning | Experimental Design | Earth Sciences

About

I am a Postdoc Researcher passionate about advancing Earth Sciences and exploring AI's transformative potential. As a researcher, I specialize in data science techniques using Python programming to extract valuable insights from geospatial data.

Contact me if you want to discuss a project or collaborate on one involving the application of Machine Learning in the geosciences.

Latest papers

Research

Datasets

Wellhead Protection Area (protection zone) prediction using breakthrough curves

Templates

Python scientific project

Blog posts

Let's connect!

Robin Thibaut's Projects

3d-forest-classic

software for analysis of Lidar data from forest environment.

apd-core

Core repo for

ats

Advanced Terrestrial Simulator (ATS) development

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-open-geoscience

Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome

basil_workshop_ilvo

bel

bel_bnn

circular-stats

cmasher

Scientific colormaps for making accessible, informative and 'cmashing' plots

cmwr2022

colormaps

conditional_density_estimation

Package implementing various parametric and nonparametric methods for conditional density estimation

cplantbox

dcca-keras-tensorflow

Deep Canonical Correlation Analysis - Implemented using the Keras functional API and tensorflow backend

deep-cca

Deep Canonical Correlation Analysis with Python

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

doi2bib

get the bibtex string given a doi

e4d

electripy

erinn

Electrical resistivity imaging based on deep learning

explore

Community-curated topic and collection pages on GitHub

fetch-scripts

flanders

How to draw a quick map of Flanders with Python!

flopy

A Python package to create, run, and post-process MODFLOW-based models.

flowtorch

This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a community of users and contributors by focusing initially on complete infra and documentation for how to use and create components.