BLACKJAX-DEVS . GITHUB . IO {}

Matching Content Categories {📚}

• Technology & Computing
• DIY & Home Improvement
• Books & Literature

Content Management System {📝}

What CMS is blackjax-devs.github.io built with?

Custom-built

No common CMS systems were detected on Blackjax-devs.github.io, but we identified it was custom coded using Bootstrap (CSS).

Traffic Estimate {📈}

What is the average monthly size of blackjax-devs.github.io audience?

🚦 Initial Traffic: less than 1k visitors per month


Based on our best estimate, this website will receive around 119 visitors per month in the current month.
However, some sources were not loaded, we suggest to reload the page to get complete results.

check SE Ranking
check Ahrefs
check Similarweb
check Ubersuggest
check Semrush

How Does Blackjax-devs.github.io Make Money? {💸}

The income method remains a mystery to us.

Some websites aren't about earning revenue; they're built to connect communities or raise awareness. There are numerous motivations behind creating websites. This might be one of them. Blackjax-devs.github.io might be plotting its profit, but the way they're doing it isn't detectable yet.

Keywords {🔍}

blackjax, jax, state, import, main, ppl, sample, build, api, latest, version, samplers, cpu, gpu, world, stepsize, inversemassmatrix, installation, install, instructions, developers, skip, content, search, ctrl, quickstart, integration, aesara, numpyro, oryx, pymc, tensorflowprobability, multiple, chains, custom, gradients, nonjax, logprob, functions, metropoliswithingibbs, sampler, word, learn, sampling, book, reference, bibliography, warning, documentation, corresponds,

Topics {✒️}

jax log-prob functions latest released version jnp import jax world installation stats import numpy install jax gpu/tpu return jnp blackjax developers main branch ppl instructions word blackjax blackjax contents nuts = blackjax step = jax multiple chains custom gradients gibbs sampler documentation corresponds gpu building blocks potentially unnormalized nuts_key = jax model implemented related tutorials left menu pure python code run quick introduction _ = step current state art samplers size=1_000 def logdensity_fn logpdf = stats observed step_size inverse_mass_matrix blackjax jax numpy stats rng_key version step samplers state nuts logdensity_fn

Questions {❓}

• Build a Metropolis-Within-Gibbs sampler?
• Sample from the word BlackJAX using BlackJAX?
• Sample with multiple chains?
• Use custom gradients?
• Use non-JAX log-prob functions?

External Links {🔗}(3)

• What's the monthly income of https://github.com/blackjax-devs/blackjax?
• Income figures for https://github.com/google/jax
• How much income is https://github.com/google/jax#installation earning monthly?

Libraries {📚}

• Bootstrap