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I'm hoping to implement a state-space model that includes Markov-switches between "regimes", which represent different parameter values for the function representing the expected value of changes over…
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This is one of the last remaining examples that Metaprob needs to support in order to get up to Church or Venture level competence. We've been talking about it since the spring but there hasn't been …
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have created a mixture model example for the Balls in urn example
[Ipython notebook example here ](https://github.com/deebuls/bayespy/blob/mixtureModelIpythonExample/doc/source/examples/ipython/Mix…
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The article mentioned about using Gaussian mixture model for computing acoustic likelihoods but not other models, I was wondering what is the advantage of using this model? What is the difference?
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I seem to keep running into an issue where the gradients (or rather, the grad norm) keeps getting larger and larger until eventually it becomes 'inf'
```
{'loss': 11.6752, 'grad_norm': 37893840568…
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Given that MegaBlocks is highly optimized for sparse MoE models like Mixtral, I am requesting support for a variant recently termed as MoDE by Google DeepMind. Benefits include much faster training an…
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Dear Francesco, dear all,
I'm using Tespy to calculate a heat exchanger and I'm running into a strange behaviour. I'm using version 0.6.3 of Tespy. Below a code example which should reproduce the p…
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I would like to contribute code implementation of Gaussian Mixture Model in python under GSSOC21.
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Hi, I find that there are emerging works in the field of NLP on **Mixture of experts** based models, such as Switch Transformers from Google. However, I do not find such mixture of expert models in hu…
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Hi!
I'm currently using this for a project investigating earthquakes. I just forked the project and already implemented some improvements to the code, but I think the biggest improvement would be to…