ddatamaster

3d_image_segmentation

Classification-of-Hyperspectral-Image

Classification of the Hyperspectral Image Indian Pines with Convolutional Neural Network

CSV_to_TFRecords

DashAnimalShelter

Data-Science-with-Python

Name: Dilshad Raza

data_science

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.

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.

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

ddatamaster/3d_image_segmentation

ddatamaster/Classification-of-Hyperspectral-Image

Classification of the Hyperspectral Image Indian Pines with Convolutional Neural Network

ddatamaster/CSV_to_TFRecords

ddatamaster/DashAnimalShelter

ddatamaster/Data-Science-with-Python

Name: Dilshad Raza

ddatamaster/data_science

ddatamaster/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.

ddatamaster/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.

ddatamaster/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)

ddatamaster/Machine-Learning-Competition-2020

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

ddatamaster/MachineLearningTrainingProjects

ddatamaster/Mask_RCNN

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

ddatamaster/Petrophysics-With-Python

Petrophysics with Python

ddatamaster/Predictive_Maintainence_system

The scope of project was to predict machine failures using sensor data and optimized corrective maintenance schedule which can identify the indicators of potential failures in production line and can help to prevent some production stops from happening.

ddatamaster/pyGeoPressure

Pore pressure prediction using seismic velocity and well log data

ddatamaster/PySeis

Pure python seismic data processing

ddatamaster/PythonTraining

Practice for Python, pandas, numpy basics to advance to gian more better understanding of the concepts in programming with python.

ddatamaster/Satellite_Imagery_Analysis

Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.

ddatamaster/scipy2014-3d_seismic

Data and ipython notebook for my talk at Scipy2014.

ddatamaster/Seismic.jl

julia0.6 tools to read, write and process seismic data

ddatamaster/SeismicPro

Seismic data processing with ML and deep learning

ddatamaster/seismiqb

Seismic data interpretation with deep learning

ddatamaster/synthetic_well-log_polynomial_regression

This project attempts to construct a missing well log from other available well logs, more specifically an NMR well log from the measured Gamma Ray (GR), Caliper, Resistivity logs and the interpreted porosity from a well.

ddatamaster/tle_fwi

Seismic data full waveform inversion tutorial.