Thibaut Astic's starred repositories
cs231n.github.io
Public facing notes page
segmentation_models.pytorch
Segmentation models with pretrained backbones. PyTorch.
MLE-Flashcards
200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.
Nintendont
A Wii Homebrew Project to play GC Games on Wii and vWii on Wii U
dask-tutorial
Dask tutorial
gempy
GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to address parameter and model uncertainties.
homebrew_launcher
WiiU Homebrew Launcher
scikit-gstat
Geostatistical variogram estimation expansion in the scipy style
mineral-exploration-machine-learning
List of resources for mineral exploration and machine learning, generally with useful code and examples.
MachineLearningCourse
My graduate level machine learning course, including student machine learning projects.
NumDL-CourseNotes
Course notes for graduate-level class on numerical methods for deep learning
GaussianMixMCMC_Metropolis
Codes related to the publication Gaussian mixture Markov chain Monte Carlo method for linear seismic inversion
Deep_1D_velocity
Code for the article : Seismic velocity estimation: a deep recurrent neural-network approach
Astic-2020-JointInversion
Scripts to reproduce the results of Astic et al. (2020): forward and joint inversion of potential fields data with petrophysical information (Petrophysically and geologically guided inversion: PGI)
SciPy-2016-Winner-Plot-John-Hunter-Excellence-Plotting-Contest-Magnetotelluric
Winning plot at the SciPy 2016 conference, John Hunter's contest for best scientific visualization: The magnetotelluric method
Astic-2019-PGI
Scripts to reproduce the results presented in Astic & Oldenburg (2019). Jupyter notebooks and pre-built cloud environment.
Brightside-Datathon
Code repository for the Brightside Datathon analyses