831 Open source projects that are alternatives of or similar to query-selector

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

📈 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.

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.

Transformer-based Memory Networks for Knowledge Graph Embeddings (ACL 2020) (Pytorch and Tensorflow)

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

A PyTorch implementation of the Light Temporal Attention Encoder (L-TAE) for satellite image time series. classification

Resampling Tools for Time Series Forecasting with Modeltime

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

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

Sequence to Sequence Models in PyTorch

Time Series Forecasting Best Practices & Examples

MSGARCH R Package

Automated Time Series Forecasting

Predict materials properties using only the composition information!

Time Series Ensemble Forecasting

Scalable machine 🤖 learning for time series forecasting.

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

Code examples for pyFTS

A toolkit for working with time series in R

A unified framework for machine learning with time series

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

Kaggle | Web Traffic Forecasting 📈

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

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

Probabilistic time series modeling in Python

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

A Python library for time series forecasting

Code for the paper "MASTER: Multi-Aspect Non-local Network for Scene Text Recognition" (Pattern Recognition 2021)

Merlion: A Machine Learning Framework for Time Series Intelligence

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

From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)

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

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

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

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

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

Forecast time series and stock prices with SCINet

CentOS based Docker container for Time Series Analysis and Modeling.

GluonTS Deep Learning with Modeltime

📈 high level wrapper for parallel univariate time series forecasting 📉

ARCH models in Python

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

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

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

Time series analysis in Java

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

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

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

An open source library for Fuzzy Time Series in Python

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

Archived incubation repo for InfluxDB 2.0

Nested Hierarchical Transformer https://arxiv.org/pdf/2105.12723.pdf

An intuitive library to extract features from time series

Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

Source code for "Bi-modal Transformer for Dense Video Captioning" (BMVC 2020)

Codes and Datasets for paper RecSys'20 "SSE-PT: Sequential Recommendation Via Personalized Transformer" and NurIPS'19 "Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers"

Time series features

🚂 Python API for Emma's Markov Model Algorithms 🚂

[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation