465 Open source projects that are alternatives of or similar to George

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

Fast & scalable MCMC for all your exoplanet needs!

Forecasting 🇫🇷 elections with Bayesian statistics 🥳

Useful tools for periodicity analysis in time series data.

Scalable 1D Gaussian Processes in C++, Python, and Julia

Merlion: A Machine Learning Framework for Time Series Intelligence

PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

An interactive 3D animation using WebGL to depict a 2D predator prey ecology on a grid real-time mapped onto the surface of a 3D torus. Sound file is parsed then visualized both in time and frequency domains as well as rendered using Web Audio API - this is an exercise where I taught myself how to display data for an ongoing project on sound syn…

Machine Learning Projects

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

Python implementation of soft-DTW.

Exponential Smoothing & Moving Average Models in Java

The Chronix Server implementation that is based on Apache Solr.

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

Calculates various features from time series data. Python implementation of the R package tsfeatures.

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

(Work In Progress) Implementation of "Financial Time Series Prediction Using Deep Learning"

Luminaire is a python package that provides ML driven solutions for monitoring time series data.

High-performance time series algorithms for Ruby

Collection of useful data science topics along with code and articles

A python multi-variate time series prediction library working with sklearn

💡 A Distributed and High-Performance Monitoring System. Prometheus enterprise edition

This repository contains the implementations related to the experiments of a set of publicly available datasets that are used in the time series forecasting research space.

K2 systematics correction using Gaussian processes

Ruby client for InfluxDB

PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.

Remaining Useful Life (RUL) estimation of Lithium-ion batteries using deep LSTMs

Machine learning models for time series analysis

AtsPy: Automated Time Series Models in Python (by @firmai)

Nonlinear Nonparametric Statistics

Accumulo backed time series database

Process live and historical data from luftdaten.info, IRCELINE and OpenAQ. Filter by station-id, sensor-id and sensor-type, apply reverse geocoding, store into timeseries and RDBMS databases, publish to MQTT, output as JSON or visualize in Grafana.

Axibase Time Series Database: Usage Examples and Research Articles

Visualize large time-series data in plotly

A toolkit for working with time series in R

Various methods for generating synthetic data for data science and ML

A stock trading bot that uses machine learning to make price predictions.

Max-value Entropy Search for Efficient Bayesian Optimization

A collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats, gan, kalman-filter

A minimal implementation of Gaussian process regression in PyTorch

Chart.js plugin for live streaming data

A Julia implementation of basic tools for time series analysis compatible with incomplete data.

A python library for Bayesian time series modeling

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

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

Distributable time-series database (not actively maintained)

Full Bayesian Inference for Hidden Markov Models

CrateDB is a distributed SQL database that makes it simple to store and analyze massive amounts of data in real-time.

Graph-based Knowledge Tracing: Modeling Student Proficiency Using Graph Neural Network

Low-latency algorithmic trading platform written in Rust

Scientific time series and deep learning state of the art

Particle filtering and sequential parameter inference in Python

DeltaPy - Tabular Data Augmentation (by @firmai)

Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)

An open source SQL database designed to process time series data, faster

THIS REPO HAS MOVED TO https://github.com/apache/incubator-iotdb. TsFile is a columnar file format designed for time-series data, which supports efficient compression and query. It is easy to integrate TsFile with your IOT big data processing frameworks.

📈 high level wrapper for parallel univariate time series forecasting 📉

Tidy anomaly detection

sktime companion package for deep learning based on TensorFlow

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