417 Open source projects that are alternatives of or similar to Gratis

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

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

Synthetic Data Generation for tabular, relational and time series data.

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

ARCH models in Python

The Heroic Time Series Database

Solution to Kaggle - Web Traffic Time Series Forecasting

A highly scalable real-time graphing system

An open-source and enterprise-level monitoring system.

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

Fastest Integer Compression

RRDtool 1.x - Round Robin Database

Anomaly Generator on Time Series

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.

Rapid large-scale fractional differencing with RAPIDS to minimize memory loss while making a time series stationary. 6x-400x speed up over CPU implementation.

A Python toolkit for rule-based/unsupervised anomaly detection in time series

terminal-based personal organizer

Kaggle | Web Traffic Forecasting 📈

Neuralyzer is a library and a command line tool to anonymize databases (by updating existing data or populating a table with fake data)

An aggregating proxy to enable HA prometheus

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.

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

🕖 A curated list of awesome time series databases, benchmarks and papers

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

Time Series in Go and PostgreSQL

Fully Convlutional Neural Networks for state-of-the-art time series classification

Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

Timeseries database

The AI Application Platform We All Need. Human AND Machine Intelligence. Based on experience building AI solutions at Panasonic: robotics predictive maintenance, cold-chain energy optimization, Gigafactory battery mfg, avionics, automotive cybersecurity, and more.

A Java package to automatically detect anomalies in large scale time-series data

Automatic extraction of relevant features from time series:

Gesture Recognition using TensorFlow

Bringing financial analysis to the tidyverse

Code repository of the paper "Wavelet Networks: Scale Equivariant Learning From Raw Waveforms" https://arxiv.org/abs/2006.05259

A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile

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.

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.

ELKI Data Mining Toolkit

Yuvi is an in-memory storage engine for recent time series metrics data.

Data generation and property-based testing for Elixir. 🔮

List of papers, code and experiments using deep learning for time series forecasting

Machine Learning on Sequential Data Using a Recurrent Weighted Average

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge

Quantitative Financial Modelling Framework

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

Time Series Benchmark Suite, a tool for comparing and evaluating databases for time series data

Solution to Corporación Favorita Grocery Sales Forecasting Competition

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

Scalable, event-driven, deep-learning-friendly backtesting library

Generate strings that match a given regular expression

TrailDB is an efficient tool for storing and querying series of events

Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

Time-series database

Scalable datastore for metrics, events, and real-time analytics

An environmental monitoring and regulation system

Python module for machine learning time series:

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

Feeding images of time series to Conv Nets! (Tensorflow + Keras)

Natural Series Database

Example projects, code, and documents for comparing Mathematica with R.