blackjax VS bayeux

Compare blackjax vs bayeux and see what are their differences.

blackjax

BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity. (by blackjax-devs)
probabilistic-programming bayesian-inference sampling-methods hamiltonian-monte-carlo
Source Code
blackjax-devs.github.io
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bayeux

State of the art inference for your bayesian models. (by jax-ml)
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Source Code
jax-ml.github.io
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blackjax bayeux
1 1
727 99
3.3% -
8.2 7.8
3 days ago 5 days ago
Python Python
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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blackjax

Posts with mentions or reviews of blackjax. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-30.
  • AutoBNN: Probabilistic Time Series Forecasting
    2 projects | news.ycombinator.com | 30 Mar 2024
    What are the other four frameworks?

    > For one, who wants to do stuff in tensorflow anymore let alone tensorflow-probability.

    AutoBNN is a JAX library and has nothing to do technically with TF Probability. It was developed by the TF Probability team.

    > DL community prefers pytorch and stats community prefers Stan.

    It looks like the JAX ecosystem for stats is growing: NumPyro is based on JAX, PyMC has a JAX backend, https://github.com/blackjax-devs/blackjax has effective samplers, there is https://github.com/jax-ml/bayeux, and now AutoBNN.

    > This one seems theoretically more interesting than some others but practically less useful.

    Are there other factors why you think AutoBNN is not practically useful, apart from being based on the wrong foundation (which was a mistaken belief of yours)?

bayeux

Posts with mentions or reviews of bayeux. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-30.
  • AutoBNN: Probabilistic Time Series Forecasting
    2 projects | news.ycombinator.com | 30 Mar 2024
    What are the other four frameworks?

    > For one, who wants to do stuff in tensorflow anymore let alone tensorflow-probability.

    AutoBNN is a JAX library and has nothing to do technically with TF Probability. It was developed by the TF Probability team.

    > DL community prefers pytorch and stats community prefers Stan.

    It looks like the JAX ecosystem for stats is growing: NumPyro is based on JAX, PyMC has a JAX backend, https://github.com/blackjax-devs/blackjax has effective samplers, there is https://github.com/jax-ml/bayeux, and now AutoBNN.

    > This one seems theoretically more interesting than some others but practically less useful.

    Are there other factors why you think AutoBNN is not practically useful, apart from being based on the wrong foundation (which was a mistaken belief of yours)?