Tobi Ore's repositories

Synthetic-Well-Logs-Using-Neural-Networks

A workflow to generate synthetic well logs using Artificial Neural Networks

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500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

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awesome-open-geoscience

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

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Brittleness-Predicition-using-Machine-Learning

Brittleness is known to be an important reservoir property in hydraulic fracturing. Under a certain level of differential stress, brittle rocks fail creating planes of weakness that are kept open by the injected proppant, causing secondary permeability in the rock. This repo contains python scripts to estimate brittleness using elastic and mineralogical properties and to predict brittleness using machine learning.

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Cracking-The-Coding-Interview-Python-Solutions-and-Explanations

Cracking the Coding Interview in Python 3. The solutions all have detailed explanations with visuals.

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deep-seismic-fav-docs

Papers related to Deep Learning, GANs, applied to seismic

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FaultNet

fault picking with 3D-UNets

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Machine-Learning-Competition-2020

SPWLA PDDA’s 1st Petrophysical Data-Driven Analytics Contest -- Sonic Log Synthesis

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ML-and-DS-Geoscience-Papers

A collection of published papers, abstracts, and introductory articles of Machine Learning and Data Science related to applications on Geoscience and Hydrocarbon exploration.

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open-geoscience-repository

Open geoscience computing of open geoscience datasets available in open databases from Google Drive, SEG Wiki, and US DoE Geothermal Data Repository OpenEi

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seismic-deeplearning

Deep Learning for Seismic Imaging and Interpretation

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seismic_deep_learning

A couple of python scripts to interpret geological structures from geophysical images using deep learning

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Seismology

Teaching material for ErSE 210 Seismology course

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2020-aachen-inverse-problems

Short course on geophysical inversion at RWTH Aachen University.

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AI_Curriculum

Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.

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aiaiart

Course content and resources for the AIAIART course.

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CNN_based_petrophysical_inversion

Neural network based petrophysical property inversion

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CNNforFaultInterpretation

Deep Convolutional Neural Network for Automatic Fault Recognition from 3D Seismic Dataset

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ddpm-segmentation

Label-Efficient Semantic Segmentation with Diffusion Models (ICLR'2022)

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DermoSegDiff

[MICCAI 2023] DermoSegDiff: A Boundary-aware Segmentation Diffusion Model for Skin Lesion Delineation

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FCNVMB-Deep-learning-based-seismic-velocity-model-building

Deep-learning inversion: A next-generation seismic velocity model building method

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ga_mineral_model

Code for defining mineral model input matrix using a GA and application of tuned matrix for mineral predictions.

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KAUST-Iraya_SummerSchool2021

Material for KAUST and Iraya's virtual summer school on Utilising unstructured data in geoscience.

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MADAN

Pytorch Code release for our NeurIPS paper "Multi-source Domain Adaptation for Semantic Segmentation"

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python

JupyterLab based Python Tutorials. These are detailed markdown tutorials covering installation, markdown, text datatypes, numeric data types, collections, programming constructs, the collections, itertools, math, random, datetime, statistics, sys, operating system, abc, csv and pickle modules, the numpy and matplotlib libraries.

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pytorch-Deep-Learning-Minicourse

Minicourse in Deep Learning with PyTorch

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references-articles-computer-science

Repository of textbooks and articles in Computer Science

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seismic-tutorial

T21 tutorial using Volve data

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SeisSegDiff

An efficient few-shot segmentation diffusion model for seismic facies classification

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