manateechen Goto Github PK

aialpha

Use unsupervised and supervised learning to predict stocks

air-pollution

django application - forecasting koare air pollution

air_pollution_forecasting

airpollution

ais

A ship tracking website that can combine data from multiple sources

aishub-collector

AIShub collector gets data from AIShub network and stores it to the MySQL database for later use.

cmaq_installation_tutorial

CMAQ 5.3.1 installation guide based on intel compilers.

code-ncl

containerized-forecasting-workflow

Scripts to build and run WRF and WPS in docker

convert_geotiff

A commandline utility for converting GeoTIFF files for use in WRF

datos_era5

Manuales para descargar y utilizar ERA5 en WRF

deep-air

Predicting Air Pollution in Beijing, China using Deep Neural Nets

deep-learning--forecasting-air-pollution-in-beijing-china-machine-learning-

deep-learning-air-pollution-forecaster

Deep learning air-pollution forecaster with Pytorch

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

deeplearningfortsf

深度学习以进行时间序列预测

deeptrade

A LSTM model using Risk Estimation loss function for stock trades in market

emissionsmissingdatacrbm

"Improving Maritime Traffic Emission Estimations on Missing Data with Conditional RBMs" paper code and data for reproducibility

estimation-theory

Estimating atmospheric oxidation levels using extended Kalman Filter

forecasting-on-air-pollution-with-rnn-lstm

Time Series Forecasting using LSTM in Keras.

gadm2ioapi

Convert gadm shapefiles to IOAPI compliant files

leaflet-velocity

Visualise velocity data on a leaflet layer

load_forecasting

Load forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models

lstm-fcn

Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

machinelearningstocks

Using python and scikit-learn to make stock predictions

marketdatascience

meic2wrf

Interpolating & distributing MEIC 0.25*0.25 emission inventory onto WRF-Chem grids

nennen

netcdf2littler

An application to convert NetCDF files to the Little-R format. The Little-R format is the accepted input format for the WRF data assimilation system (WRFDA) preprocessor (obsproc). Currently only the conversion of synoptical weather stations are supported by this application.