Top 5 Python bayesian-statistic Projects
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orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood. (by uber)
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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ebisu
Public-domain Python library for flashcard quiz scheduling using Bayesian statistics. (JavaScript, Java, Dart, and other ports available!)
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
I really wish something like https://github.com/fasiha/ebisu becomes the norm. That is, the idea of fitting the cards to your time (by prioritising) rather than you having to do everything there software wants.
The only bit missing is some algorithm deciding how often to introduce new cards based on your historical data.
> In fact, polynomial interpolants in Chebyshev points are problem-free when evaluated by the barycentric interpolation formula. They have teh same behavior as discrete Fourier series for period functions, whose reliability nobody worries about. The introduction of splines is a red herring: the true advantage of splines is not that they converge where polynomials fail to do so, but that they are more easility adapted to irregular point distributions and more localized.
You can see also the software package https://www.chebfun.org/ for Chebyshev interpolations with Matlap and https://github.com/rnburn/bbai for interpolation Chebyshev interpolations of arbitrary dimension functions with sparse grids for Python.
Python bayesian-statistics related posts
Index
What are some of the best open-source bayesian-statistic projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | orbit | 1,805 |
| 2 | GPflow | 1,799 |
| 3 | ebisu | 304 |
| 4 | bayesian-testing | 66 |
| 5 | bbai | 42 |
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