Name: Charles Le Losq
Type: User
Company: Institut de physique du globe de Paris
Bio: Geoscientist, Assistant Professor, willing to improve data reduction protocols through programming and data science
Twitter: Charles_LeLosq
Location: France
Blog: https://charlesll.github.io/
Charles Le Losq's Projects
Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome
Classification of boninite magmas based on major and trace elements
Personal website of Charles Le Losq
A tool to compute magma degassing in the H2O-CO2-H2S-SO2-melt system
workshop description site
Resources for the RSES 'Data Surgery' seminars
Python script that takes an excel spreadsheet containing major oxide data, T, and P for a silicate melt and outputs the density of each sample as a new excel spreadsheet
Opinionated stacks of ready-to-run Jupyter applications in Docker.
Examples for using Rampy, Scipy, lmfit for spectral fitting
A Library for Uncertainty Quantification.
Julia wrapper of the GCV spline FORTRAN program
A Python interface to the GCVspline fortran library
Scientific Computing
An extensible framework for high-performance geostatistics in Julia
i-Melt is a machine learning model of the properties of aluminosilicate melts and glasses
FORTRAN software to calculate the redox state of iron in magmas
The Julia Language: A fresh approach to technical computing.
Julia Project web site.
Tutorials and tests of algorithms in Python (Keras/Tensorflow/Scikit-Learn) and Julia (Flux.jl and scratch)
Program to fit viscosity data with TVF or Adam-Gibbs equations
Simple Least Squares Minimization, with flexible Parameter settings, based on scipy.optimize.leastsq
Metadata for registered Julia packages.
:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.
Please do not feed the models
Matériel pour cours de modélisation en Géochimie
A Julia package for non-negative matrix factorization
Numpy main repository
Numenta Platform for Intelligent Computing: a brain-inspired machine intelligence platform, and biologically accurate neural network based on cortical learning algorithms.