boyoforex Goto Github PK

2016-ml-contest

Machine learning contest - October 2016 TLE

2020-aachen-inverse-problems

Short course on geophysical inversion at RWTH Aachen University.

30-days-of-python

30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace.

academic-kickstart

Academic Website of Adebayo Oluwaseun Ojo

ambientnoise

Codes for ambient noise tomography of Alaska

astic-2020-jointinversion

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)

awesome-earth-artificial-intelligence

A curated list of Earth Science's Artificial Intelligence (AI) tutorials, notebooks, software, datasets, courses, books, video lectures and papers. Contributions most welcome.

balto_gui

This repo provides an interactive GUI for BALTO within a Jupyter notebook. It uses ipywidgets (for the GUI), ipyleaflet (for interactive maps), pydap (for OpenDAP support), matplotlib and cartopy.

baygrav3d

BayGrav3D is a Bayesian linear gravity inverse modeling program that inverts gravity data to determine the best-fitting densities of spatially discretized 3D subsurface prisms in a least-squares sense. We use a Bayesian approach to incorporate both data uncertainty and prior geophysical constraints, such as seismic data. Gaussian priors are applied to the model parameters as absolute equality constraints. BayGrav3D utilizes Tikhonov regularization as a relative equality constraint that smooths and stabilizes the inversion solution. Given gravity data and a set of priors, the inversion produces a solution to the model parameters (i.e. density) and the full covariance and resolution matrices to quantify the error on the solution. BayGrav3D is capable of working on both local and regional scales and with both simple and complex subsurface geometries. BayGrav3D is written is Matlab, and the release contains an example project with data with which users may test the scripts. A python release is planned sometime in the coming year or so. For more information on the methods, please refer to our paper - Hightower et al. (2020), A Bayesian 3-D linear gravity inversion for complex density distributions: application to the Puysegur subduction system, GJI, v. 223, p. 1899-1918. For using the program, please refer to the documentation (soon to be available on ReadTheDocs) and the commentary within the scripts.

bayhunter

McMC transdimensional Bayesian inversion of surface wave dispersion and receiver functions

cc-fjpy

A Python Package for seismic ambient noise cross-correlation and the frequency-Bessel transform method

cnn-for-1d-emi-inversion

Python codes for one-dimensional deep learning inversion of geophysical data

code_snippets

dissertation-moho-uncertainty

Dissertation project: "Estimating the accuracy of Moho depth estimates from gravity inversion"

em-notebooks

a collection of jupyter notebooks that use SimPEG.EM

evalml

EvalML is an AutoML library written in python.

forex-prediction

Using Machine learning to predict future Forex Prices

forex-predictor

Predict direction of forex movement using word2vec and machine learning algorithms.

forex-trend-classification

Foreign Exchange Trend Classification Via Machine Learning Methods

forex_ml_prediction

Using machine learning to predict hourly EUR/USD strategy. Based on the research paper: FOREX Trend Classification using Machine Learning Techniques

forex_price_movement

FOREX Trend Classification using Machine Learning Techniques.

forexclassifier

Forex strategy based on https://www.researchgate.net/publication/236896558_FOREX_Daily_Trend_Prediction_using_Machine_Learning_Techniques?enrichId=rgreq-93372d8d52382de719821a1c4c52914b-XXX&enrichSource=Y292ZXJQYWdlOzIzNjg5NjU1ODtBUzoxMDEyNTk1NjY2NDkzNThAMTQwMTE1MzU3MDc1Nw%3D%3D&el=1_x_2&_esc=publicationCoverPdf

fortran-code-on-github

Directory of Fortran codes on GitHub, arranged by topic

geobo

Python package for Multi-Objective Bayesian Optimisation and Joint Inversion

geophysical-inversion-undergraduate

geophysical_inversion

non linear and linear geophysical inversions

geoscience-software

open-geoscience

git_practice

gmt-plotting

Collection of GMT (Generic Mapping Tools) scripts, jupyter notebooks (using PyGMT) and files (including digitized map content, colormaps, grid files etc.)

gold

Gold price prediction & trading simulation