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neural-network-based-seizure-detection-kaggle-dataset-

Seizure detection based on Neural Networks (1D-CNN + LSTM/GRU)

nfft-based-hilbert-transform

Computes the Hilbert transform of vector fields in the space domain. The convolution sum is efficiently calculated by a fast summation algorithm.

ngboost_pv_forecasting

An interpretable probabilistic model for short-term solar power forecasting using natural gradient boosting

nlp-disaster-tweets-with-5-architectures

Architectures: Naive Bayes, 1D CNN, RNNs LSTM, RNNs Bidirectional, RNNs GRU, Using transfer learning

nmpostprocess

Processing and plotting the output of the NormalModes library using vector spherical harmonic analysis

noaa-runtime

Code execution for the NOAA MagNet: Model the Geomagnetic Field competition.

not_official_pqds-database-creator

This repository contains a Power Quality Disturbances GUI which serves 2 purposes: 1) visual understanding of PQDs 2) create a DB of them

nowcastgeoelectrics

Scripts for nowcasting geoelectric fields across Ireland

offlineunsupervisedanomalydetection

Unsupervised anomaly detection on time series data using Python and sklearn. Includes Kmeans clustering, Elliptic Envelope for Gaussian method, and Markov Chain. Heavily inspired by: https://github.com/Vicam/Unsupervised_Anomaly_Detection

okcompute

Fault Tolerant Analysis Framework

opengossip

Tools for metrics analysis and fault detection

openpulse

OpenPulse: Open Source Software for Pulsation Analysis of Pipeline Systems

ozone-arima

Ozone levels in Denver follow a rough seasonal cycle. This time-series model implementation seeks to forecast future ozone levels in Denver. Data courtesy of Airnow.gov via API.

ozone-narx-dnn

Air-quality forecasting in Belgium using Deep Neural Networks, Neuroevolution and distributed Island T​ranspeciation

p23.-eda-1

EDA (Exploratory Data Analysis) -1: Loading the Datasets, Data type conversions,Removing duplicate entries, Dropping the column, Renaming the column, Outlier Detection, Missing Values and Imputation (Numerical and Categorical), Scatter plot and Correlation analysis, Transformations, Automatic EDA Methods (Pandas Profiling and Sweetviz).

p4

P4: Portable Parallel Processing Pipeline

pandapower

Convenient Power System Modelling and Analysis based on PYPOWER and pandas

pandas-profiling

Create HTML profiling reports from pandas DataFrame objects

papers

Resources for papers published based on Helio4Cast software.

pattern_detection_with_lstm

We use an unsupervised learning method based on the LSTM neural network to detect anomalies in a time series

peakdetection

My peak detection programs

petroleum-ds-ml-with-python

pfa-matlab-code-git

Matlab code for Persistent Fault Analysis

phantom

Phantom Smoothed Particle Hydrodynamics and Magnetohydrodynamics code

phd-thesis

phdthesis

Scalable Models of Probabilistic Forecasting with Fuzzy Time Series, PhD Thesis

photovoltaic_fault_detector

Model Photovoltaic Fault Detector based in model detector YOLOv.3, this repository contains four detector model with their weights and the explanation of how to use these models.

photovoltaics_calculator

This is a photovoltaics calculator, based on the method exposed in the course of TU-Delft Solar Energy: P

physics-informed-deep-learning

NASA Physics-Informed Deep Learning Project

physics-informed-ml-study

study code for physics informed machine learning and deep learning