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## Current situation
#### State of the DX
When working on an issue of the maintenance app, both development speed and the development experience are awful. It's ridiculously difficult to wrap the …
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I'm using tf.Estimator with custom model_fn. When training, the estimator usually outputs log like:
INFO:tensorflow:loss = 1109.14, step = 1
INFO:tensorflow:loss = 937.876, step = 101 (6.245 sec)
…
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Thanks for sharing your comprehensive code!
I've just started reading and running your code. In hparams, nepochs is set to 2000; but it seems to stop at the first epoch, as it shows in tensorboard:
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Following your work on causal convolution and a few issues mentioning the subject, I started to dig in a bit on it and it looks like a very good research direction.
I have gained my understanding o…
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This follows from a lively discussion @Mohammer5 and I had at https://github.com/dhis2/app-runtime/pull/19, it's a good read!
**Design Goals**
A) No application should ever have to make an HTTP…
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There is already mechanism to set [optional parameter in alias](http://docs.stackstorm.com/latest/aliases.html#with-default):
``` yaml
formats:
- "google {{query=StackStorm}}"
```
#### Problem
But…
arm4b updated
4 years ago
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## Context
As seen in [this paper](https://homepages.dcc.ufmg.br/~mtov/pub/2019-msr.pdf), a way to identify expert in a project is to look at their commit history - more precisely to look at featur…
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Here is the beginning of the training log.
/root/anaconda3/envs/psenet/bin/python3.5 /data3/xxx/tensorflow_PSENet/train.py --gpu_list=0,1 --input_size=512 --batch_size_per_gpu=4 --checkpoint_path=.…
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The error below is thrown when I try to train `wavenet_vocoder` with the default parameters on a Jupyter Notebook at [Googles's Colaboratory site](colab.research.google.com)
> !cd ./wavenet_vocoder…
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This is an umbrella issue to track progress for my planned TODOs. Comments and requests are welcome.
### Goal
- [x] achieve higher speech quality than conventional vocoder (WORLD, griffin-lim, e…