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ml4ms

Machine Learning for Microseismic - A Python package for implementing automated microseismic event detection with machine learning.

ml_event_detection_microseismic

Demo for microseismic event detection using supervised learning

ml_toolbox

A Machine learning toolbox containing algorithms for non-linear dimensionality reduction, clustering, classification and regression along with examples and tutorials which accompany the Master level "Advanced Machine Learning" and "Machine Learning Programming" courses taught at EPFL by Prof. Aude Billard

mwpt

Our denoising method MWPT-IHHI module and related figures were produced using the MATLAB. MWPT-IHHI (the denoising method by combining a multi-threshold wavelet packet transform and an improved Hilbert-Huang transform) makes use of WPT and HHT method for microseismic signals from a coal seam hydraulic fracturing.

n2v

This is the implementation of Noise2Void training.

nmflibrary

MATLAB library for non-negative matrix factorization (NMF): Version 1.8.0

noise2noise

Noise2Noise: Learning Image Restoration without Clean Data - Official TensorFlow implementation of the ICML 2018 paper

numerical-tours

Numerical Tours of Signal Processing

numpy-ml

Machine learning, in numpy

opendenoising-benchmark

An Open Source Benchmark for Evaluating Image Denoising Algorithms

opensource

Code for geophysical 3D/2D Finite Difference modelling, Marchenko algorithms, 2D/3D x-w migration and utilities.

orthogonal_dictionary_learning

p_phase_picker

Source code for “Identifying Seismic Waves with Convolutional Neural Networks” tutorial on my website:

pfast

PFAST: A High Performance Software Package for Transmission and Reflection Seismic Traveltime Tomography

phase-picker

Design, test and improve a convolutional neural network approach for seismic phase picking

phasenet

Used for onset picking

prdeep

This package contains the code to run prDeep; a noise robust phase retrieval algorithm based on deep neural networks.

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 ;)

pybnn

Bayesian neural network package

pykonal

Travel-time calculator based on the fast-marching method solution to the Eikonal equation.

pypick

Seismic event picking using Matplotlib and machine learning

pyscatwave

Fast Scattering Transform with CuPy/PyTorch

python

All Algorithms implemented in Python

pythontest

图片转字符串

qinv

A package for attenuation analysis for borehole observation.

regularizednonlinearacceleration

Implementation of the Regularized Nonlinear Acceleration algorithm

reproducible-deep-compressive-sensing

Collection of reproducible deep learning for compressive sensing

reproducible-image-denoising-state-of-the-art

Collection of popular and reproducible image denoising works.

reproducible-image-restoration-state-of-the-art

Image Restoration Paper and Code, including Image Denoising, Image Supre-resolution, Image Inpainting etc.

scatnet

Scattering Network for Matlab