398 Open source projects that are alternatives of or similar to Nnet Ts

This curated list contains python packages for time series analysis

RRDtool 1.x - Round Robin Database

Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971

ARCH models in Python

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

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.

MSGARCH R Package

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

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

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

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

A highly scalable real-time graphing system

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

Machine Learning on Sequential Data Using a Recurrent Weighted Average

Natural Series Database

Quantitative Financial Modelling Framework

A framework for systemic risk valuation and analysis.

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

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

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

Tools for mapping stars and planets.

Time Series in Go and PostgreSQL

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

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

Tools for financial economics. Curated wrapper over Python ecosystem. Source code for fecon235 Jupyter notebooks.

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.

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

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

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

Solution to Corporación Favorita Grocery Sales Forecasting Competition

Highly comparative time-series analysis

Axibase Time Series Database Documentation

A unified framework for machine learning with time series

An environmental monitoring and regulation system

sktime companion package for deep learning based on TensorFlow

Distributed Prometheus time series database

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

Timeseries database

Collection of useful data science topics along with code and articles

Python package to generate Gaussian (1/f)**beta noise (e.g. pink noise)

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

Gesture Recognition using TensorFlow

List of awesome papers about time series, mainly including algorithms based on machine learning | 收录时间序列分析中各个研究领域的高水平文章，主要包含基于机器学习的算法

Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python

Series and Panels for Real-time and Exploratory Analysis of Data Streams

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

Ruby client for InfluxDB

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

Code for "Neural Controlled Differential Equations for Irregular Time Series"

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

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

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

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

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

[WIP] DiamonDB: Rebuild of time series database on AWS.

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

[Archive] High Volume Data Feed (HDVF) framework for time series data - This Repository is NOT a supported MongoDB product

Talk at PyCon UA 2018 (Kharkov, Ukraine)

Time-series database