1346 Open source projects that are alternatives of or similar to Neural_prophet

Extending broom for time series forecasting

A toolkit for working with time series in R

Time Series Ensemble Forecasting

📈 high level wrapper for parallel univariate time series forecasting 📉

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

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

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

Time series analysis in Java

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).

RNN based Time-series Anomaly detector model implemented in Pytorch.

Time Series Forecasting Best Practices & Examples

An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms

Scalable machine 🤖 learning for time series forecasting.

Predict time-series with one line of code.

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.

Collection of several downsampling methods for time series visualisation purposes.

An Open Source Distributed Time Series Database with high performance, high compression ratio and high usability.

Model data as beliefs (at a certain time) about events (at a certain time).

TensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction

GluonTS Deep Learning with Modeltime

This Project gives you an overall idea for Forecasting Mutual Funds

CentOS based Docker container for Time Series Analysis and Modeling.

MSGARCH R Package

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.

A Julia implementation of basic tools for time series analysis compatible with incomplete data.

天池“资金流入流出预测——挑战baseline”的解决方案，线上效果143.5

API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation

Resampling Tools for Time Series Forecasting with Modeltime

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

Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.

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

PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.

Singular Spectrum Analysis methods implementation in Python

Tools for time series analysis and forecasting

Luminaire is a python package that provides ML driven solutions for monitoring time series data.

Calculates the Hurst exponent of a time series based on Rescaled range (R/S) analysis.

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

Using Kalman Filter to Predict Corona Virus Spread

Merlion: A Machine Learning Framework for Time Series Intelligence

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

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).

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

A python library for Bayesian time series modeling

Collection of useful data science topics along with code and articles

Time series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai

A unified framework for machine learning with time series

SiriDB is a highly-scalable, robust and super fast time series database. Build from the ground up SiriDB uses a unique mechanism to operate without a global index and allows server resources to be added on the fly. SiriDB's unique query language includes dynamic grouping of time series for easy analysis over large amounts of time series.

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Bringing financial analysis to the tidyverse

ARCH models in Python

AtsPy: Automated Time Series Models in Python (by @firmai)

Kaggle | Web Traffic Forecasting 📈

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

This package includes basic tools for time series analysis, compatible with incomplete data.

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

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

Timeseries database

A python library for easy manipulation and forecasting of time series.