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I tried to train the model with the custom dataset, and I ran the following code (the dataset was properly transformed to a COCO style)
`python tools/train_net.py --cfg configs/12_2017_baselines/e2e_…
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Basically all of the `umx` functions do this, and thus we cannot generate data for them. The `mxGetExpected` functions handle this. It shouldn't be too hard to fix it for data generation too.
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Hi Paul,
As I have said before, awesome package. Very glad to see this available to the community. I was wondering if it would be possible to implement a Compound Multniomial-Logistic Normal Distr…
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I want to train the FPN_R-FCN including "hole algorithm" with R-FCN module in Detectron. Before that, I have successfully trained the FPN_R-FCN without "hole algorithm". But when I modified some codes…
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Should these power analyses be conducted using collected data (but with effect sizes changed), or on completely simulated data where you can control the magnitude of relationships between all variable…
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The current SnakeMake case study is wrong, especially the file
https://github.com/colomoto/colomoto-docker/blob/master/usecases/snakemake/Models/2016_CellCycle_Traynard/Traynard_MultiLevel_MamCC_Apr…
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I am new to Bayesian multilevel modelling and I'm trying to run some very simple models but I always run into the same warning message:
The model looks as followed:
model1 0) return(TRUE) :
…
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Thank you for releasing the codes. After installing caffe2 and this repo, I would like to run the testing as below
```
export CUDA_VISIBLE_DEVICES="0,1,2,3"
python launch.py \
--cfg configs/vid…
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Especially hierarchical models, as in the BUGS examples and Stan's manual.
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Hello, and thanks for a great software package!
I maintain the semTools package, which had some utility functions, such as fit indices and standardized coefficients for OpenMx fitted models, which …