529 Open source projects that are alternatives of or similar to pmts

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

An integrated framework in R for textual sentiment time series aggregation and prediction

PlotTwist - a web app for plotting and annotating time-series data

This repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.

Examples of Data Science projects and Artificial Intelligence use cases

Historical NAV/price/time-series data of mutual funds and popular benchmark indices in India

Wavefront Proxy Project

Wavefront plugin for go-metrics

It's like Hacker News but we pay you Bitcoin.

Renewcast: Forecasting Renewable Electricity Generation in EU Countries.

Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector

Python machine learning package based on sklearn API for multivariate data processing and statistical analysis of symmetric positive definite matrices via Riemannian geometry

Bayesian Generalized Linear Models with Time-Varying Coefficients

PyTorch implementations of neural networks for timeseries classification

Process global-scale satellite and airborne elevation data into time series of glacier mass change: Hugonnet et al. (2021).

Time series market data

Forecast time series and stock prices with SCINet

An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please note that most of the collections of researches are mainly based on IMU data.

Synthetic Data Generation for mixed-type, multivariate time series.

Open Source Phasor Data Concentrator

A Java library for Matrix Profile

MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)

Dynamic Time Warping in Python / C (using ctypes)

PL/pgSQL implementation of hashids library

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.

LSTM Mobility Model implementation using Tensorflow

⏰ This R package provides the tools to perform standard and robust wavelet variance analysis for time series (signal processing). Among others, aside from computing the wavelet variance and cross-covariance (classic and robust), the package provides inference tools (e.g. confidence intervals) and plotting tools allowing to perform some visual an…

If you can measure it, consider it predicted

GreyCat - Data Analytics, Temporal data, What-if, Live machine learning

Creating a model to analyze and predict the trend of the prices of gold.

Prediction of continuous signals data and Web tracking data using dynamic Bayesian neural network. Compared with other network architectures aswell.

Statistical inference on machine learning or general non-parametric models

Official code for UnICORNN (ICML 2021)

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

PyTorch implementation of Soft-DTW: a Differentiable Loss Function for Time-Series in CUDA

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

Functions for easily making publication-quality figures with matplotlib.

Using LSTM network for time series forecasting

Predict time-series with one line of code.

Example of order book modeling.

Probably the best curated list of data science books in Python

PHP7+ Based administration tool for PostgreSQL 9.3+

PyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"

Extension for specialized, per-table replication between PostgreSQL instances

Data visualization tool for wikis evolution

Scalable machine 🤖 learning for time series forecasting.

Automated Time Series Forecasting

Code examples for pyFTS

Time series implementation in Go

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

several utilities to help wrangle COVID-19 data into a time-series format

Rainfall analysis of Maharashtra - Season/Month wise forecasting. Different methods have been used. The main goal of this project is to increase the performance of forecasted results during rainy seasons.

Introduction to Machine Learning with Time Series at PyData Festival Amsterdam 2020

Reusable CNN and RNN model doing time series binary classification

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

Enables extraction of measurement data from binary files with extension 'raw' used by proprietary software imcFAMOS/imcSTUDIO and facilitates its storage in open source file formats

Python package for automatically constructing features from multiple time series

Shiny app for Price Optimization using prophet and lme4 libraries for R.

Time Series Ensemble Forecasting

An OpenTSDB-like time series database, with much better performance.