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Hi, all. We have to write our scientific and lay abstract. See https://github.com/hackseq/October_2016/issues/76
Please write a few sentences about your work here. I'll put them all together. Thanks!…
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Roughly speaking the dolo library can be separated in two parts,
- the compilation part, that translates model files into symbolic objects, manipulate them and outputs "compiled" model
- the numeric p…
albop updated
11 years ago
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count models in discrete
It looks like start_params needs to be the transformed params if `_transparams=True` is used during the optimization
This happens in NegativeBinomial, and might also happe…
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I have an inverse problem where the parameter function is a function of the solution, what is the correct way to implement it?
```julia
using ModelingToolkit, NeuralPDE, Lux, Random, NNlib
using Op…
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I have this warnings:
/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/site-packages/statsmodels/base/model.py:466: ConvergenceWarning: Maximum Likelihood optimization failed to …
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Hi,
When setting `cost_withGradients='evaluation_time'` I persistently run into the same error: ` AttributeError: 'NoneType' object has no attribute 'predict'`. Without it it works fine.Do you know a…
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In your work, discrete variables are implemented in latent variables. May I ask whether this method is feasible for discrete variables to be directly used as network output?
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Thanks for sharing the code of the Hutton32-Computer. I am trying to understand how to run it and try some programming. I would appreciate it if you give me some hints.
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Hi, thank you very much for sharing out your work and giving me the opportunity to learn more about your article.
I think your proposed method opens up a new direction for solving discrete constrai…
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Hi,
following the new tutorial I moved my GPU net from Flux to Lux. Unfortunately now I cannot use BFGS for the optimization. The code I use is the following:
```
using NeuralPDE, Lux, CUDA, Modeli…