dilshad-geol Goto Github PK

3d_image_segmentation

3d_seismic_interpretation_course

3D Seismic Interpretation Course from Colorado School of Mines

app_deep_learning

T81-558: PyTorch - Applications of Deep Neural Networks @Washington University in St. Louis

attention-fault-interpretation

Repo contains codes for our paper on modeling visual attention for seismic fault interpretation.

auto_seismic_facies_classification_unet_appm

This repo is based on the Shubhamai solutions of AICrowd Facies Identification Challenge in which we need to create a ML/DL Model to do pixel classification by taking 3D images.

calculate-archie-water-saturations-after-fine-tuning-electrical-properties-to-pickett-and-buckles-pl

Calculate Archie Water Saturations after Fine-Tuning Electrical Properties to Pickett and Buckles Plots using Python’s Panel Library

csv_to_tfrecords

dashanimalshelter

data-science-with-python

Name: Dilshad Raza

database-work

Database repository for source and reference material

datarepository

datascienceprojects

DataScience Projects

dilshad-geol

Config files for my GitHub profile.

dimensionality-reduction-and-classification-on-hyperspectral-images-using-python

In this repository, You can find the files which implement dimensionality reduction on the hyperspectral image(Indian Pines) with classification.

ds_capstone_ibm

DataScience Capstone IBM DataScience Professional Certificate

estimate-core-permeability-from-nmr-data-using-either-map-inversion-or-knn

Estimate Core-based Permeability from NMR well log data

facies-classification-machine-learning

force-2020-machine-learning-competition

the results, code and the data for the Force 2020 Machine learning competition after the completion of the competition in October 2020.

fractoolbox

Python tools for structural geology and borehole image analysis which includes data handling, frequency and geometric analysis, and reservoir geomechanics.

geolog-used-to-automate-the-characterization-workflow-using-clerkes-rosetta-stone-calibration-data

Geolog used to automate the Carbonate characterization workflow using Clerke’s Arab D Rosetta Stone calibration data. This technique provides for a full pore system characterization with modeled Capillary Pressure saturations for an Arab D complex carbonate reservoir.

geophysical_notes

Collection of geophysical notes in the form of IPython/Jupyter notebooks.

handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hyperspectral_image_analysis_simplified

The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.

image-captioning-sagemaker

Deploy Huggingface Image-to-text pretrained model on AWS Sagemaker with Flask-based webapp deployed on AWS Elastic Beanstalk

interactive-seismic-data-section-plot

This repository contains a Python script that uses the Plotly library to create an interactive web-based application for plotting seismic data sections from SEG-Y files.

jointinversion_geophy

Collection of scripts to reproduce the results of Astic et al. (2020): forward modelling and joint inversion of potential fields data with petrophysical information (Petrophysically and geologically guided inversion: PGI)

machine-learning-competition-2020

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

machine-learning-zoomcamp

The code from the Machine Learning Bookcamp book and a free course based on the book

machinelearningtrainingprojects

Machine Learning Projects, further projects are been hidden in the next branch of the repo. They are professional projects for clients from multiple backgrounds. Due to privacy concerns, they are private. Can be access via request to repo author.

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow