866 Open source projects that are alternatives of or similar to Gorilla Tsc

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

Predict time-series with one line of code.

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

Extending broom for time series forecasting

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.

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A machine learning toolkit dedicated to time-series data

An open-source library of algorithms to analyse time series in GPU and CPU.

A toolkit for working with time series in R

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A Multipurpose Library for Synthetic Time Series Generation in Python

Anything can happen in the next half hour (including spectral timing made easy)!

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

Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

Collection of several downsampling methods for time series visualisation purposes.

Library which contains several time-dependent data and index structures (e.g., IntervalTree, BucketTimeSeries), as well as algorithms.

Timeseries database

Downsample plugin for Flot charts.

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

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

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

Financial market technical analysis & indicators in Julia

A python library for Bayesian time series modeling

Java implementation of Seasonal-Trend-Loess time-series decomposition algorithm.

Durable time-series database that's API-compatible with Prometheus.

Stock Analysis Tutorial in Python

GridDB is a next-generation open source database that makes time series IoT and big data fast,and easy.

Time-aware tibbles

Bringing financial analysis to the tidyverse

If you can measure it, consider it predicted

1st place solution

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

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.

Time series analysis in Java

Solution to Kaggle - Web Traffic Time Series Forecasting

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.

📈 A small, fast chart for time series, lines, areas, ohlc & bars

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

A python library for time-series smoothing and outlier detection in a vectorized way.

Userspace tools for managing VDO volumes.

Imhotep is a large-scale analytics platform built by Indeed.

An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.

This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis

Columnar storage extension for Postgres built as a foreign data wrapper. Check out https://github.com/citusdata/citus for a modernized columnar storage implementation built as a table access method.

Easily optimize images using WP CLI

Deep learning meets molecular dynamics.

Fast & scalable MCMC for all your exoplanet needs!

A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding).

Plain Java unrar library

A high performance and compression ratio compressor for genomic data, powered by GTXLab of Genetalks.

Realtime animated graphs with PubNub and C3.

The Open Source Time-Series Data Historian

file system archiver for linux

Small inflate/deflate implementation in ~300 LoC of ANSI C

Live Quant Trading Framework for Robinhood, using IEX Trading and AlphaVantage for Free Prices.

List of tools & datasets for anomaly detection on time-series data.

A Time Series Data Browser

An "R" package for automatic download and preprocessing of MODIS Land Products Time Series

⚡️ Proxy that compresses images to low-resolution

Collections of model quantization algorithms