GitPlanet

Cheap and reliable Node.js hosting starts at $3/month, and $1/month static HTML hosting

Created with love in Canada, visit hostnodejs.com today

Feel like to post an Ad? Learn Details
All Projects → adobe → Chronikis

adobe / Chronikis

Licence: apache-2.0
A compiler for Bayesian time series models.

Programming Languages

haskell
3896 projects

Labels

time-series-analysisbayesian-data-analysis

Projects that are alternatives of or similar to Chronikis

Bayadera
High-performance Bayesian Data Analysis on the GPU in Clojure
Stars: ✭ 342 (+1610%)
Mutual labels:  bayesian-data-analysis
Bayesian Stats Modelling Tutorial
How to do Bayesian statistical modelling using numpy and PyMC3
Stars: ✭ 480 (+2300%)
Mutual labels:  bayesian-data-analysis
Bda py demos
Bayesian Data Analysis demos for Python
Stars: ✭ 781 (+3805%)
Mutual labels:  bayesian-data-analysis
Sktime
A unified framework for machine learning with time series
Stars: ✭ 4,741 (+23605%)
Mutual labels:  time-series-analysis
Anomaly Detection Resources
Anomaly detection related books, papers, videos, and toolboxes
Stars: ✭ 5,306 (+26430%)
Mutual labels:  time-series-analysis
Tidybayes
Bayesian analysis + tidy data + geoms (R package)
Stars: ✭ 557 (+2685%)
Mutual labels:  bayesian-data-analysis
Atsd Use Cases
Axibase Time Series Database: Usage Examples and Research Articles
Stars: ✭ 335 (+1575%)
Mutual labels:  time-series-analysis
Awesome Aiops
AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star
Stars: ✭ 931 (+4555%)
Mutual labels:  time-series-analysis
Bayesian Analysis Recipes
A collection of Bayesian data analysis recipes using PyMC3
Stars: ✭ 479 (+2295%)
Mutual labels:  bayesian-data-analysis
Rstan
RStan, the R interface to Stan
Stars: ✭ 760 (+3700%)
Mutual labels:  bayesian-data-analysis
Hctsa
Highly comparative time-series analysis
Stars: ✭ 406 (+1930%)
Mutual labels:  time-series-analysis
Tsai
Time series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai
Stars: ✭ 407 (+1935%)
Mutual labels:  time-series-analysis
Alphapy
Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost
Stars: ✭ 564 (+2720%)
Mutual labels:  time-series-analysis
Time Series Papers
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
Stars: ✭ 357 (+1685%)
Mutual labels:  time-series-analysis
Rhat ess
Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC
Stars: ✭ 19 (-5%)
Mutual labels:  bayesian-data-analysis
Atspy
AtsPy: Automated Time Series Models in Python (by @firmai)
Stars: ✭ 340 (+1600%)
Mutual labels:  time-series-analysis
Dbda Python
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
Stars: ✭ 502 (+2410%)
Mutual labels:  bayesian-data-analysis
Pygtc
Make a sweet giant triangle confusogram (GTC) plot
Stars: ✭ 13 (-35%)
Mutual labels:  bayesian-data-analysis
Scikit Stan
A high-level Bayesian analysis API written in Python
Stars: ✭ 22 (+10%)
Mutual labels:  time-series-analysis
Statistical Rethinking With Python And Pymc3
Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
Stars: ✭ 713 (+3465%)
Mutual labels:  bayesian-data-analysis
View All Similar Projects ➔

Chronikis

Chronikis (kroh-NEE-kees) is a special-purpose language for creating time-series models. It comes with a compiler chronikisc and an R package chronikis that contains utilities for calling the compiler as well as estimating and forecasting with the compiled time-series models.

The name "Chronikis" is derived from the phrase χρονική σειρά (chronikí seirá), which means "time series" in Greek.

A PDF of the Chronikis manual, which includes installation instructions, may be found at doc/chronikis-manual.pdf.

This initial release is still missing a number of functions and distributions that the language ought to have; the focus was on implementing enough that all of the models in compiler/Acceptance could be compiled.

Contributing

Contributions are welcome! Read the Contributing Guide for more information.

Licensing

This project is licensed under the Apache V2 License. See LICENSE for more information.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].