466 Open source projects that are alternatives of or similar to renewcast

list of papers, code, and other resources

Resources for working with time series and sequence data

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

An open-source, low-code machine learning library in Python

Example of order book modeling.

A Keras library for multi-step time-series forecasting.

Probabilistic time series modeling in Python

Examples of Data Science projects and Artificial Intelligence use cases

Wavefront Proxy Project

Leetcode using AI

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

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

Repo for "3D-PV-Locator: Large-scale detection of rooftop-mounted photovoltaic systems in 3D" based on Applied Energy publication.

Easy genetic ancestry predictions in Python

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

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

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.

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

An effective time-series data compression/decompression method based on Facebook's Gorilla.

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

ANTARES Visualizations

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

Time series annotation library.

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

ZestDB

Real-time performance monitoring, done right! https://www.netdata.cloud

Automated Time Series Forecasting

Time series market data

Time series implementation in Go

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

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

Functions for easily making publication-quality figures with matplotlib.

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

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 provides a simple deployment-ready project layout for a Streamlit app. Simply swap out the code in `app.py` for your own and hit deploy!

Predict time-series with one line of code.

⏰ 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…

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

framework for developing machine (and deep) learning models for structured data

Probably the best curated list of data science books in Python

PyTorch implementation of TSception

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.

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

A Data Science project that uses an ARIMA model for Time Series Forecasting, to predict the temperature of any given city across a specific time period.

⏰📊✨Laravel Time Series - Provides an API to create and maintain data projections (statistics, aggregates, etc.) from your Eloquent models, and convert them to time series.

PyTorch implementations of neural networks for timeseries classification

Interactive web apps created using leafmap and streamlit

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

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

Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.

Official code for UnICORNN (ICML 2021)

Computer Vision application in the web

⚠️[Deprecated] no longer maintained, please use the code in https://github.com/guoshnBJTU/ASTGCN-r-pytorch

list of papers, code, and other resources

HandWritten is a streamlit application that converts a digital text document to a handwritten document

A friendly package for Kepler & TESS time series analysis in Python.

playing idealized trading games with deep reinforcement learning

Open Source Phasor Data Concentrator

An open-source big data platform designed and optimized for the Internet of Things (IoT).

The Most Advanced Time Series Platform