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Bbai Alternatives
Similar projects and alternatives to bbai based on common topics and language
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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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d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
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Ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
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nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better bbai alternative or higher similarity.
bbai reviews and mentions
Posts with mentions or reviews of bbai.
We have used some of these posts to build our list of alternatives
and similar projects.
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Cubic Spline Interpolation
> 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.
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[P] Deterministic Objective Bayesian Analysis for Spatial Models
Code: https://github.com/rnburn/bbai
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Show HN: Deterministic objective Bayesian inference for spatial models [pdf]
https://github.com/rnburn/bbai/blob/master/example/11-meuse-...
References
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[P] Fit Logistic Regression with Jeffreys Prior
I’ve been working on a Python project to fit logistic regression models with Jeffreys prior https://github.com/rnburn/bbai.
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[S] An Algorithm for Bayesian Ridge Regression with Full Hyperparameter Integration
The github repository https://github.com/rnburn/bbai provides an implementation, a small example demonstrating usage is available at https://github.com/rnburn/bbai/blob/master/example/03-bayesian.py, and here's a comparison to more traditional conjugate prior algorithms for Bayesian linear regression: https://buildingblock.ai/bayesian-ridge-regression#appendix-a-comparison-with-other-bayesian-algorithms
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A note from our sponsor - InfluxDB
www.influxdata.com | 5 May 2024
Stats
Basic bbai repo stats
5
42
6.1
about 1 month ago
rnburn/bbai is an open source project licensed under Creative Commons Attribution 4.0 which is not an OSI approved license.
The primary programming language of bbai is Python.
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