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Having QPA depend on ComplexesCategories causes various issues, e.g. that everything that depends on QPA now also depends on Locales. From a quick local test it looks like this dependency is not used …
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Batch size is 2048. Getting the training data from the q I see
x_train, y_train = train_q.get()
print('X.. ' + str(x_train.shape) + ' Y.. ' + str(y_train.shape))
X.. (2048, 2980) Y.…
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I'm developing a system based on the two-tower architecture as defined in Retrieval's tutorial.
I tested two approaches during development:
1. Passing all features to the query_model with the exce…
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Leave below as comments your memos that grapple with the topic of climate change, inspired by the readings (Synthesis report from IPCC5, IPCC Special Report: Global Warming of 1.5°C, Bill McKibben's “…
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I'm curious to read an explanation of fundamental technical differences or similarities between Perl 6 macros (and, separately if appropriate, 007 macros) with Lisp FEXPRs. I thought ven especially mi…
raiph updated
2 months ago
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I am trying to optimize a mix of categorical, discrete (ordered) and continuous variables. Each of my categorical variables can take one of 500 to 1,000 values, so one-hot encoding is probably out of …
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Implements coercion within lattices of finite fields lying above the same prime when implemented with Conway polynomials.
```
sage: k = GF(9, conway=True, prefix='z')
sage: l = GF(27, conway=True, …
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I want to perform convolution on a sequence input before feeding it to an RNN but it looks like `Convolution1D` ignores its input mask (and thus wouldn't work with sequences of differing length). Is t…
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xpilot Version : beta 26
ES version : 3.2a r33
The latest beta seems to have broken towerview again (possibly due to fastpacket work). Previous versions still showed moving traffic when connected t…
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The goal is to implement data-parallel multi-GPU training with gradient-averaging properly in Keras (at least explicitly for TensorFlow backend).
In this issue I'd like to discuss a particular appr…