MoYad10's repositories
lstm-predictive-maintenance
This code base attempts to use LSTM networks to train failure predictive model of aircraft engines.
opm-simulators
Simulator programs and utilities for automatic differentiation.
GeostatsPy
Reimplementation of GSLIB, Spatial Data Analytics and Geostatistics in a Python package.
imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
in-bruges
A walking tour of bruges
tfserving-python-predict-client
Client used to send grcp requests to a tfserving model
uTensor
AI inference library based on mbed and TensorFlow
papers
Summaries of papers on machine learning, computer vision, autonomous robots etc.
dcedn-gcs
Deep convolutional encoder-decoder networks for uncertainty quantification of dynamic multi-phase flow in heterogeneous random media
d3-voronoi
Compute the Voronoi diagram of a set of two-dimensional points.
pyGeoStatistics
Geostatistics in Python
Force-Hackathon-Grain-Size
Repo for the Force Hackathon - Learn Grain size and sedimentological structures form core images
force-hackathon
Projects for force hackathon with akerbp and cognite
d3-delaunay
Compute the Voronoi diagram of a set of two-dimensional points.
data-science-template
A starter template for data science projects
spark
Mirror of Apache Spark
cnn-surrogate
Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification
Predictive-Maintenance-using-LSTM
Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
tfserving-simple-example
How to save a model for tfserving
kshape
Python implementation of k-Shape
rMRST
R interface to Matlab Reservoir Simulation Toolbox
time-series-classification-and-clustering
Time series classification and clustering code written in Python. Mostly based on the work of Dr. Eamonn Keogh at University of California Riverside
Automatic-failure-diagnosis-of-RP
Downhole Diagnosis of rod pump using Dynamometer cards
DataScienceSpCourseNotes
Compiled Notes for all 9 courses in the Coursera Data Science Specialization