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### Issue summary
Hi @wenwei202 ,
I'm trying to apply low rank approximation to object detection model similar to SSD. But while converting the model to HDF5 using caffemodel_converter.py I'm gettin…
vc-30 updated
5 years ago
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Hi there,
I'm trying to train word embeddings using vw's low-rank approximation feature. I noticed the nice [wiki page](https://github.com/JohnLangford/vowpal_wabbit/wiki/Matrix-factorization-examp…
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Hi,
I am experimenting with the various solvers in MFEM(using Hypre) and I see that ILU is not there in the HYPRE header file even though HYPRE itself has PILUT. Does it mean that what I would need…
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Hi; I was wondering if LBFGS is thread safe?
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I am trying to implement the pmf model in the examples and it seems to work with you sample data. But when I tried my own data set, which has more than 20,000 lines of data, something happened:
```
[…
ghost updated
5 years ago
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People don't know to use new qual with GenotypeGVCFs so they're wasting a lot of time running the less efficient old qual. There are also people encountering bugs in old qual (see https://github.com…
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If a tender is excluded due to abnormally low price or cost, will it still be reported as the lowest value of tender? Or is it the lowest value of tender given it is not excluded and it fulfills all c…
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@ahwillia Here is my plan for evaluating the tensor factorization code on prefrontal calcium imaging data:
1. Compare "naive" vs. "align" exports (per #226). In particular, I would like to do a det…
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What are the benefits of the `svd` and `eig` implementations for DataMatrix, over using the one from Base?
The comment in the code suggests that this one can handle `NA`. If not already done, this is…
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There is only one notebook example, SVI.ipynb, of stochastic variational inference. In this example, X = input, Y = multiple outputs (2 columns Y1 and Y2) and Z = inducing variables.
Z = np. random.…