102 Open source projects that are alternatives of or similar to Esrnn Gpu

Software for verifying weather forecasts

Singular Spectrum Analysis for time series forecasting in Python

Resampling Tools for Time Series Forecasting with Modeltime

A COVID-19 dataset with 90 World countries including Algeria.

LONG-TERM SERIES FORECASTING WITH QUERYSELECTOR – EFFICIENT MODEL OF SPARSEATTENTION

A framework for querying AWIPS meteorological datasets from an EDEX Data Server.

sknifedatar is a package that serves primarily as an extension to the modeltime 📦 ecosystem. In addition to some functionalities of spatial data and visualization.

GPU-Accelerated Deep Learning for Time Series using Modeltime GluonTS (Learning Lab 53). Event sponsors: Saturn Cloud, NVIDIA, & Business Science.

PyForecast is a statistical modeling tool used by Reclamation water managers and reservoir operators to train and build predictive models for seasonal inflows and streamflows. PyForecast allows users to make current water-year forecasts using models developed with the program.

Personal Financial Forecasting Model

Python package for early warning signals (EWS) of bifurcations in time series data.

Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction

Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks

A Python reference implementation of the CF data model

📈 PyTorch dual-attention LSTM-autoencoder for multivariate Time Series 📈

Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.

GluonTS Deep Learning with Modeltime

The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.

Calculates various features from time series data. Python implementation of the R package tsfeatures.

Automated Time Series Forecasting

A fantasy football draft assistant with projections from ESPN, CBS, and NFL

WATTNet: Learning to Trade FX with Hierarchical Spatio-Temporal Representations of Highly Multivariate Time Series

Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.

Gaussian dynamic Bayesian networks structure learning and inference based on the bnlearn package

An overview of univariate time series forecasting models with sample code.

Time Series Ensemble Forecasting

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

ARIMA, SARIMA, SARIMAX and AutoARIMA models for time series analysis and forecasting in the browser and Node.js

Forecast time series and stock prices with SCINet

📈 high level wrapper for parallel univariate time series forecasting 📉

All data sets required for the examples and exercises in the book "Forecasting: principles and practice" (3rd ed, 2020) by Rob J Hyndman and George Athanasopoulos <http://OTexts.org/fpp3/>. All packages required to run the examples are also loaded.

LSTM to predict wind speed

Code examples for pyFTS

Data-driven COVID-19 forecasts and detection of unreported cases

In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays and oil prices.

Forecasting Solar Power: Analysis of using a LSTM Neural Network

Nowcasting

foot是一个集足球数据采集器,简单分析的项目.AI足球球探为程序全自动处理,全程无人为参与干预足球分析足球预测程序.程序根据各大指数多维度数据,结合作者多年足球分析经验,精雕细琢,集天地之灵气,汲日月之精华,历时七七四十九天,经Bug九九八十一个,编码而成.有兴趣的朋友,可以关注一下公众号AI球探(微信号ai00268).

COVID-19 spread shiny dashboard with a forecasting model, countries' trajectories graphs, and cluster analysis tools

Forecast using R language. The problems are from 'Forecasting: Principles and Practice(2nd ed.)'.

Suite of tools for retrieving USGS NWIS observations and evaluating National Water Model (NWM) data.

Applying Facebook's prophet on Google Analytics data

Stock market forecasting using the ARIMA model.

A simple way to manage your finances with forecasting. We should automate our money, not make it automate us.

A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python

CentOS based Docker container for Time Series Analysis and Modeling.

SEIR+ model

In these notebooks the entire research and implementation process carried out for the construction of various machine learning models based on neural networks that are capable of predicting levels of solar radiation is captured given a set of historical data taken by meteorological stations.

Detecting and Predicting Forest Cover Change in Pakistani Areas Using Remote Sensing Imagery

demography package for R

Das Nowcasting erstellt eine Schätzung des Verlaufs der Anzahl von bereits erfolgten SARS-CoV-2-Erkrankungsfällen in Deutschland unter Berücksichtigung des Diagnose-, Melde- und Übermittlungsverzugs.

Lisflood OS - LISFLOOD

A Python library for anomaly detection

This Project gives you an overall idea for Forecasting Mutual Funds

Scalable machine 🤖 learning for time series forecasting.

A bookkeeping & financial analysis engine for the Django Framework. UNDER ACTIVE DEVELOPMENT & NOT STABLE YET.

Merlion: A Machine Learning Framework for Time Series Intelligence

This repository contains the implementations related to the experiments of a set of publicly available datasets that are used in the time series forecasting research space.

Official Python/PyTorch Implementation for "All-In-One Drive: A Large-Scale Comprehensive Perception Dataset with High-Density Long-Range Point Clouds"

This Python function dm_test implements the Diebold-Mariano Test (1995) to statistically test forecast accuracy equivalence for 2 sets of predictions with modification suggested by Harvey et. al (1997).