Alexnet implementation in tensorflow has incomplete architecture where 2 convolution neural layers are missing. This issue is in reference to the python notebook mentioned below.

https://github.com/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/tensor-flow-examples/notebooks/3_neural_networks/alexnet.ipynb

In doc.pyx' s line 590:

 if not self.is_parsed:
            raise ValueError(Errors.E029)

I can still do a good job of chunking by tokenization and pos tagging only, without the full parse. Also in some languages parse isn't available. This will leave more flexibilities to users. I can comment out this in my copy of spacy, but when I update spacy to a new release, I have to chang

I've noticed all the links on template homepages are broken.

I cant find where these links are set though. It doesnt seem to be here

<img width="1043" alt="sc

I've heard GUN mentioned multiple times, but I never understood what it is. This is my experience when looking at the website and navigating from it. Please take it as a constructive criticism of what seems to me as a promising software project.

I've navigated to the main website https://gun.eco/.
The page servers as more like a directory than a landing page.
It was sluggish on mobile, maybe

FileSystemContext in presto-raptor can now be replaced by HdfsContext given presto-hive-metastore has been separated into a standalone module.

Use case
Javascript decodeURIComponent('1%202+3')
and ClickHouse decodeURLComponent('1%202+3')
return same result

"1 2+3"

which compatible with http://www.faqs.org/rfcs/rfc3986.html

but other popular languages also follow http://www.faqs.org/rfcs/rfc1866.html

8.2.1. The form-urlencoded Media Type

   The default encoding for all forms is `application/x-www-form-

I am trying to deploy the app with the given ./sbt clean dist command but I got this error:

Downloading sbt launcher for 1.3.8:
  From  https://repo.scala-sbt.org/scalasbt/maven-releases/org/scala-sbt/sbt-launch/1.3.8/sbt-launch-1.3.8.jar
    To  /root/.sbt/launchers/1.3.8/sbt-launch.jar
Downloading sbt launcher 1.3.8 md5 hash:
  From  https://repo.scala-sbt.org/scalasbt/maven-releas

With the following testcase:

print("str: '%08s'" % (""))
print("str: '%08s'" % ("",))

When run with python (3.8):

 $ python3 foo.py
str: '        '
str: '        '

When compiled with cython (0.29.15):

 $ cython --embed -3 foo.py && gcc foo.c -lpython3.8 -o foo
 $ ./foo
str: '        '
Traceback (most recent call last):
  File "foo.py", line 2, in in

This class could be used instead of cd file https://catboost.ai/docs/concepts/input-data_column-descfile.html when creating Pool from filez. The class should have init function, methods load and save, and Pool init method should be able to use object of this class instead of cd file during initialization.

Summary

CouchDB keeps a list of purge infos to ensure that purges can be applied on a cluster without purged documents being re-introduced by internal replication.

It would be useful to make this list available for replication clients like PouchDB, who then could apply local purges on their own. I know PouchDB doesn’t implement purge just yet, but it’s something that folks will need befor

Based on:

https://pachyderm-users.slack.com/archives/C3UN0S0Q0/p1587234778342900?thread_ts=1587214483.341800&cid=C3UN0S0Q0

Would you like to replace more defines for constant values by enumerations to stress their relationships?

In the Cloud-native K8S environment, the logging architecture almost always assumes that all needed logs are sent to the stdout. It works as a unified source of logs where different tools read them, re-organize if needed, and route to the destinations like Analytics Dashboards etc.

Hazelcast Diagnostics are very useful when troubleshooting the performance and stability issues but currently, it

We should check if the shape is match while setting weights for model.
Currently the violation is swallow silently if we set a Tensor(4, 5) in to a model with weights Tensor(2, 10)

  def setWeightsBias(newWeights: Array[Tensor[T]])

    val tensor = Tensor[Float](2, 10).rand()
    val tensor2 = Tensor[Float](4, 5).rand()
    tensor2.copy(tensor)

  private[tensor] def copy[@spec

Hello Vespa Team,
Can you please consider support a properties-file which is available during run-time along with the model ? So some meta-data e.g. threshold/label, etc can be associated with the model.
This is for the stateless evaluation of the models like (XGBoost, TensorFlow, Onnx, etc) which is supported in vespa.

Thank you,
Pinank

Implement Series.reindex.

https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.reindex.html