674 Open source projects that are alternatives of or similar to Openhistorian

Probably the best curated list of data science books in Python

A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.

ELKI Data Mining Toolkit

天池“资金流入流出预测——挑战baseline”的解决方案，线上效果143.5

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

A toolkit for working with time series in R

A unified framework for machine learning with time series

TSrepr: R package for time series representations

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

Annotation of ECG signals using deep learning, tensorflow’ Keras

📈 Keras implementation of the Deep Temporal Clustering (DTC) model

Explore high-dimensional datasets and how your algo handles specific regions.

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

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

CogComp's light-weight Python NLP annotators

Grid Solutions Framework

A Python Package for Monitoring Seismic Velocity Changes using Ambient Seismic Noise | http://www.msnoise.org

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

Tools for mapping stars and planets.

⚡️ Ayakashi.io - The next generation web scraping framework

CRAN R Package: Time Series Missing Value Imputation

Carbon is one of the components of Graphite, and is responsible for receiving metrics over the network and writing them down to disk using a storage backend.

DataFrame Server for Financial Timeseries Data

📝 Подборка ресурсов по машинному обучению

A use-case focused tutorial for time series forecasting with python

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

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

GANs for time series generation in pytorch

Graph Sampling is a python package containing various approaches which samples the original graph according to different sample sizes.

StateSpaceModels.jl is a Julia package for time-series analysis using state-space models.

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

A Python tool for estimating velocity and time-series from Interferometric Synthetic Aperture Radar (InSAR) data.

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

6th Solution for 2020-KDDCUP Debiasing Challenge

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

The Prometheus monitoring system and time series database.

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

COVID-19 statistics for Germany. For states and counties. With time series data. Daily updates. Official RKI numbers.

R interface to X-13ARIMA-SEATS

Quantitative systematic trading strategy development and backtesting in Julia

Daggy - Data Aggregation Utility. Open source, free, cross-platform, server-less, useful utility for remote or local data aggregation and streaming

A machine learning toolkit dedicated to time-series data

Distributed Prometheus time series database

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

CNN for stock market prediction using raw data & candlestick graph.

End-to-end earthquake detection pipeline via efficient time series similarity search

HTML5 based online tool to extract numerical data from plot images.

This mathematics course is taught for the first year Ph.D. students of computer science and related areas @ZJU

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

[Data Castle 算法竞赛] 精品旅行服务成单预测 final rank 11

Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.

tsbox: Class-Agnostic Time Series in R

Deep Markov Models

This curated list contains python packages for time series analysis

Dex : The Data Explorer -- A data visualization tool written in Java/Groovy/JavaFX capable of powerful ETL and publishing web visualizations.

2017京东金融全球数据探索者大赛(3rd place)

2017-CCF-BDCI-企业经营退出风险预测：9th/569 (Top 1.58%)

Implementation of soft dynamic time warping in pytorch

Materials for workshops on text mining, machine learning, and data visualization

Neural network architecture for time series forecasting.