Highlights
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SNIST Public
A Benchmark for Seismic Velocity Inversion from Synthetics
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icml2024_finder Public
Find relevant sessions at ICML 2024
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force_npd_llm_hackathon Public
Starter Pack for the Force NPD LLM Hackathon November 2023
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outlines Public
Forked from dottxt-ai/outlinesNeuro Symbolic Text Generation
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Order-Agnostic Autoregressive Diffusion Models for Geostatistical Applications
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Short tutorial on using GANs for probabilistic solutions to ill-posed inverse problems
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roeth_tarantola_blog_series Public
Reproducing Roeth and Tarantola using Modern Tools - Blog Series
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digital_rocks_data Public
Download and load digital rocks datasets
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neural_rock_typing Public
Can machines help us understand how to distinguish rock types?
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PyWeka Public
Image Segmentation in the style of the famous ImageJ plugin "Interactive Weka Segmentation"
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pylops Public
Forked from PyLops/pylopsPyLops – A Linear-Operator Library for Python
Python GNU Lesser General Public License v3.0 UpdatedNov 22, 2020 -
fossilnet Public
Forked from softwareunderground/fossilnetThe Fossil NET Image dataset, resources, tools and examples
Shell Other UpdatedJun 14, 2020 -
GeostatsPy_Intro_Course Public
Forked from GeostatsGuy/GeostatsPy_Intro_CourseIntroduction to spatial data analytics and machine learning with GeostatsPy Python package
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GeostatsPy Public
Forked from GeostatsGuy/GeostatsPyReimplementation of GSLIB, Spatial Data Analytics and Geostatistics in a Python package.
Jupyter Notebook MIT License UpdatedMay 10, 2020 -
Official Implementation of "Stochastic seismic waveform inversion using generative adversarial networks as a geological prior"
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PresGANs Public
Forked from adjidieng/PresGANsPrescribed Generative Adversarial Networks
Python UpdatedOct 11, 2019 -
Elastic-Impedance-Inversion-Using-Recurrent-Neural-Networks Public
Forked from motazalfarraj/Elastic-Impedance-Inversion-Using-Recurrent-Neural-NetworksCodes and data for a manuscript in Interpretation Journal, Aug 2019
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geogan Public
Conditioning of three-dimensional geological and pore scale generative adversarial networks
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PorousMediaGan Public
Reconstruction of three-dimensional porous media using generative adversarial neural networks
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DeepFlow Public
Pytorch implementation of "DeepFlow: History Matching in the Space of Deep Generative Models"
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deeplogs Public
Forked from vkazei/deeplogsVelocity model building by deep learning. Multi-CMP gathers are mapped into velocity logs.
Jupyter Notebook MIT License UpdatedJul 17, 2019