Thibaut Astic (thast)

thast

Geek Repo

Company:University of British Columbia

Location:Vancouver, BC

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Organizations
geoscixyz
giftools
simpeg
simpeg-research

Thibaut Astic's starred repositories

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Language:PythonLicense:Apache-2.0Stargazers:28317Issues:323Issues:5197

cs231n.github.io

Public facing notes page

Language:Jupyter NotebookLicense:MITStargazers:9983Issues:536Issues:112

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

Language:PythonLicense:MITStargazers:8946Issues:80Issues:614

pml-book

"Probabilistic Machine Learning" - a book series by Kevin Murphy

Language:Jupyter NotebookLicense:MITStargazers:4734Issues:84Issues:633

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

Language:Jupyter NotebookLicense:BSD-3-ClauseStargazers:1819Issues:90Issues:104

cartopy

Cartopy - a cartographic python library with matplotlib support

Language:PythonLicense:BSD-3-ClauseStargazers:1366Issues:55Issues:1230

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.

Language:PythonLicense:EUPL-1.2Stargazers:920Issues:55Issues:580

homebrew_launcher

WiiU Homebrew Launcher

Language:HTMLLicense:GPL-3.0Stargazers:400Issues:59Issues:51

gemgis

Spatial data processing for geomodeling

Language:PythonLicense:LGPL-3.0Stargazers:251Issues:19Issues:189

scikit-gstat

Geostatistical variogram estimation expansion in the scipy style

Language:Jupyter NotebookLicense:MITStargazers:216Issues:16Issues:84

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.

Language:Jupyter NotebookLicense:MITStargazers:62Issues:7Issues:0

geoapps

Some applications, mostly in Python, using solutions from Mira Geoscience

Language:PythonLicense:MITStargazers:54Issues:10Issues:50

geobo

Python package for Multi-Objective Bayesian Optimisation and Joint Inversion

Language:PythonLicense:AGPL-3.0Stargazers:54Issues:6Issues:1

NumDL-CourseNotes

Course notes for graduate-level class on numerical methods for deep learning

Language:TeXLicense:GPL-3.0Stargazers:49Issues:8Issues:1

geoh5py

Python API for geoh5, an open file format for geoscientific data.

Language:PythonLicense:LGPL-3.0Stargazers:49Issues:6Issues:36

razorback

An open source python library for magnetotelluric robust processing.

Language:PythonLicense:GPL-3.0Stargazers:40Issues:9Issues:8

gxpy

Python for Geosoft GX Developer

Language:PythonLicense:BSD-2-ClauseStargazers:33Issues:11Issues:106

GaussianMixMCMC_Metropolis

Codes related to the publication Gaussian mixture Markov chain Monte Carlo method for linear seismic inversion

Language:MATLABLicense:GPL-2.0Stargazers:24Issues:1Issues:0

Deep_1D_velocity

Code for the article : Seismic velocity estimation: a deep recurrent neural-network approach

Language:PythonLicense:MITStargazers:19Issues:3Issues:1

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)

Language:TypeScriptLicense:MITStargazers:6Issues:1Issues:0

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

Language:Jupyter NotebookStargazers:6Issues:2Issues:0

Astic-2019-PGI

Scripts to reproduce the results presented in Astic & Oldenburg (2019). Jupyter notebooks and pre-built cloud environment.

Language:Jupyter NotebookLicense:MITStargazers:4Issues:0Issues:0

Math607E

Class Project: Simulation of electromagnetics diffusion in geophysics (Time-Domain Electromagnetics (TDEM))

Language:PythonStargazers:3Issues:1Issues:0

Brightside-Datathon

Code repository for the Brightside Datathon analyses

Language:Jupyter NotebookStargazers:1Issues:5Issues:0

Camp_jw

Initial gravity and mag CaMP L2 inversion

Language:PythonStargazers:1Issues:0Issues:0

EOSC513

Project repository for EOSC 513

Language:PythonLicense:MITStargazers:1Issues:3Issues:0