651 Open source projects that are alternatives of or similar to mlforecast

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

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

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

Time Series Forecasting Best Practices & Examples

A toolkit for working with time series in R

📈 high level wrapper for parallel univariate time series forecasting 📉

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

NeuralProphet - A simple forecasting model based on Neural Networks in PyTorch

A full pipeline AutoML tool for tabular data

Time Series Ensemble Forecasting

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

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

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

Merlion: A Machine Learning Framework for Time Series Intelligence

Forecast time series and stock prices with SCINet

Machine learning models for time series analysis

Automatic machine learning for tabular data. ⚡🔥⚡

A unified framework for machine learning with time series

Kaggle | Web Traffic Forecasting 📈

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

MSGARCH R Package

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

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

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

🌳 Stacked Gradient Boosting Machines

Extending broom for time series forecasting

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.

Kaggle Kernels (Python, R, Jupyter Notebooks)

Code examples for pyFTS

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.

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

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

Deep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

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

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

Time series analysis in Java

ARCH models in Python

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

A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

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

Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast evaluation.

5th place solution for Kaggle competition Favorita Grocery Sales Forecasting

Modeltime unlocks time series forecast models and machine learning in one framework

CentOS based Docker container for Time Series Analysis and Modeling.

A repository to keep track of all the code that I end up writing for my blog posts.

StateSpaceModels.jl is a Julia package for time-series analysis using state-space models.

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

An open source library for Fuzzy Time Series in Python

Probabilistic time series modeling in Python

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

A 100%-Julia implementation of Gradient-Boosting Regression Tree algorithms

Show how to perform fast retraining with LightGBM in different business cases

Building Decision Trees From Scratch In Python

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

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

📒 Experiment tracking tool and model registry

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

GluonTS Deep Learning with Modeltime

A Python library for time series forecasting

머신러닝/딥러닝(PyTorch, TensorFlow) 전용 도커입니다. 한글 폰트, 한글 자연어처리 패키지(konlpy), 형태소 분석기, Timezone 등의 설정 등을 추가 하였습니다.