manojyadavgolla

2016-ml-contest

Machine learning contest - October 2016 TLE

2017-hall-niccoli

Recovering data from images of seismic

2DayCourse

2 day short course.

CEH-v11-Study-Guide

Data-Science--Cheat-Sheet

Cheat Sheets

faultSeg

Using synthetic datasets to train an end-to-end CNN for 3D fault segmentation

handson-ml

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

sklearn_tutorial

Materials for my scikit-learn tutorial

striplog

Lithology and stratigraphic logs for wells or outcrop.

Testing-of-Machine-Learning-Algorithms-for-Lithology-Prediction-from-Well-Log-Data-of-Central-Italy

Testing of Machine Learning Algorithms for Lithology Prediction from Well Log Data of Central Italy

manojyadavgolla/2DayCourse

2 day short course.

manojyadavgolla/CEH-v11-Study-Guide

manojyadavgolla/Data-Science--Cheat-Sheet

Cheat Sheets

manojyadavgolla/faultSeg

Using synthetic datasets to train an end-to-end CNN for 3D fault segmentation

manojyadavgolla/handson-ml

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

manojyadavgolla/sklearn_tutorial

Materials for my scikit-learn tutorial

manojyadavgolla/striplog

Lithology and stratigraphic logs for wells or outcrop.

manojyadavgolla/Testing-of-Machine-Learning-Algorithms-for-Lithology-Prediction-from-Well-Log-Data-of-Central-Italy

Testing of Machine Learning Algorithms for Lithology Prediction from Well Log Data of Central Italy

manojyadavgolla/2016-ml-contest

Machine learning contest - October 2016 TLE

manojyadavgolla/2017-hall-niccoli

Recovering data from images of seismic

manojyadavgolla/Basic-Well-Log-Interpretation

Basic Well Log Interpretation with python, pandas, matplotlib

manojyadavgolla/facies_classification_benchmark

The repository includes PyTorch code, and the data, to reproduce the results for our paper titled "A Machine Learning Benchmark for Facies Classification" (submitted to the SEG Interpretation Journal 2019).

manojyadavgolla/FaciesClassification-Tensorflow

Machine Learning Algorithm using tensorflow to classify facies from well log data

manojyadavgolla/Geological-Log-Data-Machine-Learning-with-Python

A geological log data from a well in Kansas, USA is analyzed using Machine Learning (M.L.) techniques in Python. The data is overviewed, cleaned and analyzed for important patterns and relationships with which we found relationships of logs with each other and correlation of types of formations with the logs. Using this, we can eliminate the use of logs which are correlated or have no relative importance to the type of formation when we have prior geological knowledge of the area. Also, predictions of formation type were made successfully once the data is trained with the M.L. algorithms.

manojyadavgolla/jtk

The Mines Java Toolkit

manojyadavgolla/keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

manojyadavgolla/Machine-Learning-Bookmarks

manojyadavgolla/minnu_gs

manojyadavgolla/MontePetro

Monte Carlo estimation of reservoir reserves.

manojyadavgolla/notebooks

IPython Notebooks

manojyadavgolla/notebooks-1

IPython Notebooks

manojyadavgolla/petrophysics

A python package with useful functions for well log interpretation.

manojyadavgolla/recipes

Well data recipes

manojyadavgolla/well_log_ML

Machine learning for well log data

manojyadavgolla/Wellmagic

IPython notebooks to do magic things with well log data

manojyadavgolla/welly

Well handling

manojyadavgolla/xlines

X lines of Python