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Hi, I am getting an error while trying to run deep_unsupervised_embedding on my project. I suspect there is some mismatch between the expected and received input shape for the CensNetConv network but …
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The current implementation of the mixture model is as follows:
```julia
struct MixtureModel{VF
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Hi Sergei,
Thanks for hmmlearn, it is really great!
I know it is possible to fit several sequences into hmmlearn but it seems to me that these sequences need to be drawn from the same distributi…
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## Abstract
- present the `Insertion Transformer`, an iterative and partially autoregressive model for sequence generation based on insertion operations
- can generate with an arbitrary ordering
…
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I got quite excited about the `Soss.jl` presentation in JuliaConn 2021 that I decided to give it a go by implementing a mixture of Gaussian model. I borrowed [the example from Turing.jl](https://turin…
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Hi,
I have tried lo load the published pre-trained models but I got mismatches between the models definition (w/o asr) and the checkpoints files. Can you assist?
Thanks!
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When I tried to use my own data, I got the bug information. I tested using the sample data, it worked. But my data was failed to run.
fit
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### Description
ValueError: PropsSI failed ungracefully :: inputs were:"V","P",2.0000000000000000e+07,"T",2.5000000000000000e+02,"HEOS::CO2[0.01]&N2[0.1]&Methane[0.796]&Ethane[0.057]&Propane[0.02]&…
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While working with a synthetic dataset, I have noticed that using the default tol=1e-03 the final "weights" of the Gaussian Mixture components is "significantly" off from the true values. Following is…
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To simulate evaporation in optical/magnetic traps, AtomECS requires a way to calculate the effects of short-ranged (eg, s-wave) collisions.
Given that the collisions are short-ranged, all methods use…