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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

seismic-deeplearning

Deep Learning for Seismic Imaging and Interpretation

t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

Closing_price_prediction_of_Jakarta_Composite_Index_using_Autoencoders_and_LSTM_model

Count_Vectorizer

Comparing the word-to-vector transformation methods for their accuracy in a given dataset

SQL_notes_and_exercises

The compilation of my notes and exercises from the Udemy course "The Ultimate MySQL Bootcamp: Go from SQL Beginner to Expert"

word2vec-demo

CNN-for-ASI

Tutorial: Convolutional Neural Networks for Automated Seismic Interpretation

d2geo

Framework for computing seismic attributes with Python.

darknet

Convolutional Neural Networks

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

eif

Extended Isolation Forest for Anomaly Detection

Estimation-of-acoustic-impedance-from-seismic-data-using-temporal-convolutional-network

The repository has the PyTorch codes to reproduce the results for our recently accepted paper, "Estimation of Acoustic Impedance from Seismic Data using Temporal Convolutional Network", in SEG Technical Program Expanded Abstracts, 2019.

gym

A toolkit for developing and comparing reinforcement learning algorithms.

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

models

Models and examples built with TensorFlow

Poem_Classifier_using_Markov_model

Classifiying poems using Markov model

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

probability

Probabilistic reasoning and statistical analysis in TensorFlow

Resources

A list of resources to get you started in data science.

SALib

Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris, Fractional Factorial and FAST methods.

Sentiment_analysis_using_XGBoost

We will take a look on how we can implement XGBoost model to predict the sentiment

smogn

Synthetic Minority Over-Sampling Technique for Regression

Synthetic_Seismogram

tensorflow-deep-learning

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

TensorFlow-Tutorials

TensorFlow Tutorials with YouTube Videos

tutorials-2018

Geophysical Tutorials column for 2018

Vectors_model_and_text_processing_notes

notes from chapter 1

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