Tobi Ore's repositories
Synthetic-Well-Logs-Using-Neural-Networks
A workflow to generate synthetic well logs using Artificial Neural Networks
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
awesome-open-geoscience
Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome
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.
Cracking-The-Coding-Interview-Python-Solutions-and-Explanations
Cracking the Coding Interview in Python 3. The solutions all have detailed explanations with visuals.
deep-seismic-fav-docs
Papers related to Deep Learning, GANs, applied to seismic
Machine-Learning-Competition-2020
SPWLA PDDA’s 1st Petrophysical Data-Driven Analytics Contest -- Sonic Log Synthesis
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.
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
seismic-deeplearning
Deep Learning for Seismic Imaging and Interpretation
seismic_deep_learning
A couple of python scripts to interpret geological structures from geophysical images using deep learning
Seismology
Teaching material for ErSE 210 Seismology course
2020-aachen-inverse-problems
Short course on geophysical inversion at RWTH Aachen University.
AI_Curriculum
Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.
aiaiart
Course content and resources for the AIAIART course.
CNN_based_petrophysical_inversion
Neural network based petrophysical property inversion
CNNforFaultInterpretation
Deep Convolutional Neural Network for Automatic Fault Recognition from 3D Seismic Dataset
ddpm-segmentation
Label-Efficient Semantic Segmentation with Diffusion Models (ICLR'2022)
DermoSegDiff
[MICCAI 2023] DermoSegDiff: A Boundary-aware Segmentation Diffusion Model for Skin Lesion Delineation
FCNVMB-Deep-learning-based-seismic-velocity-model-building
Deep-learning inversion: A next-generation seismic velocity model building method
ga_mineral_model
Code for defining mineral model input matrix using a GA and application of tuned matrix for mineral predictions.
KAUST-Iraya_SummerSchool2021
Material for KAUST and Iraya's virtual summer school on Utilising unstructured data in geoscience.
MADAN
Pytorch Code release for our NeurIPS paper "Multi-source Domain Adaptation for Semantic Segmentation"
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.
pytorch-Deep-Learning-Minicourse
Minicourse in Deep Learning with PyTorch
references-articles-computer-science
Repository of textbooks and articles in Computer Science
seismic-tutorial
T21 tutorial using Volve data
SeisSegDiff
An efficient few-shot segmentation diffusion model for seismic facies classification