785 Open source projects that are alternatives of or similar to Pyflux

This curated list contains python packages for time series analysis

A python library for Bayesian time series modeling

Nonlinear Nonparametric Statistics

Machine learning models for time series analysis

Training Diary

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

Advanced and Fast Data Transformation in R

A Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.

Full Bayesian Inference for Hidden Markov Models

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

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

Random number generators, probability distributions, combinatorics and statistics for Java.

Python Library for learning (Structure and Parameter) and inference (Probabilistic and Causal) in Bayesian Networks.

Design-of-experiment (DOE) generator for science, engineering, and statistics

Statistics-driven benchmarking library for Rust

R package to create "Table 1", description of baseline characteristics with or without propensity score weighting

Variational Autoencoder for Dimensionality Reduction of Time-Series

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

A repository to keep track of all the code that I end up writing for my blog posts.

repo that holds code for improving on dropout using Stochastic Delta Rule

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

A Ruby API for using the Major League Baseball Gameday statistics data. MLB provides very deep statistics for all major league baseball games through Gameday. Statistics include not only the typical boxscore stats, but also down to the physics of every single pitch thrown in the game. You can find the speed, movement, and position of every pitch thrown. The Gameday API makes it easy for Ruby developers to work with all this statistical information. The test directory included with the source code contains many examples of how the API can be used. If you prefer to use SVN, the gameday_api is also available via an SVN repository at: http://code.google.com/p/gamedayapi/ If you like this project, be sure to also check out the Baseball-Tracker project also hosted on GitHub. Baseball-Tracker is a web application that uses the gameday_api. You can find a hosted version of Baseball Tracker at http://baseballstatz.heroku.com

Statistical and Algorithmic Investing Strategies for Everyone

Python solutions to the problem sets of Stanford's graduate course on Machine Learning, taught by Prof. Andrew Ng

hep is the mono repository holding all of go-hep.org/x/hep packages and tools

Applied Econometrics Library for Python

A repo for data science related questions and answers

SpaceXStats, with React and using the SpaceX API

Extending broom for time series forecasting

scikit-learn compatible implementation of stability selection.

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

Time Series Forecasting Best Practices & Examples

This book serves as an introduction to a whole new way of thinking systematically about geographic data, using geographical analysis and computation to unlock new insights hidden within data.

🎓 Tidy tools for academics

An End-to-end Outlier Detection System

This tool helps users to import contributions to GitHub from private git repositories, or from public repositories that are not hosted in GitHub.

IPython widgets, interactive plots, interactive machine learning

Anomaly detection for streaming time series, featuring automated model selection.

Multiple correspondence analysis

Implementation of time series compression method from the Facebook's Gorilla paper

A simple mobile app developed with Flutter to visualize Covid19 statistics 🦠

Time series analysis in Java

Hurst exponent evaluation and R/S-analysis in Python

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

Voice Activity Detection based on Deep Learning & TensorFlow

🔶 Unleash your Potential!

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Anomaly detection tutorial on univariate time series with an auto-encoder

Interface to use R from Python

Generalized linear mixed-effect model in Python

Analytics for CSS

Technical Analysis Library Time-Series

🔥 GitHub contribution streak & stat tracking menu bar app

An open source library for Fuzzy Time Series in Python

ASAP: Prioritizing Attention via Time Series Smoothing

Time Series Cross-Validation -- an extension for scikit-learn

Financial market technical analysis & indicators in Julia

Tutorial Sessions for SciPy Con 2019

A Python toolbox for gaining geometric insights into high-dimensional data