-
Updated
Dec 2, 2020 - Python
nlu
Here are 360 public repositories matching this topic...
-
Updated
Dec 2, 2020 - TypeScript
-
Updated
Oct 8, 2020 - Python
-
Updated
Nov 30, 2020 - JavaScript
-
Updated
Feb 8, 2020 - Python
-
Updated
Dec 1, 2020 - Python
-
Updated
Nov 6, 2020 - Python
-
Updated
Nov 27, 2020 - Python
-
Updated
May 30, 2019 - Clojure
-
Updated
Oct 19, 2020 - C#
-
Updated
Sep 5, 2020 - JavaScript
-
Updated
Oct 5, 2017 - OpenEdge ABL
-
Updated
Nov 22, 2020
-
Updated
Apr 4, 2020 - TypeScript
MyST is a sphinx markdown parser which provides more features than recommonmark. The key ones being native support for admonitions, directives and references without having to use eval_rst.
Note: When using rst directives which generate rst output (autodoc etc) you will still need to use eval_rst in MyST so that the output of the di
-
Updated
Dec 1, 2020 - C#
-
Updated
Jun 29, 2020 - Python
-
Updated
Feb 20, 2019 - TypeScript
-
Updated
Sep 3, 2020 - Java
-
Updated
Oct 5, 2019 - Python
-
Updated
Jul 5, 2018 - Python
-
Updated
Jan 5, 2018 - Jupyter Notebook
-
Updated
Jun 6, 2018 - Python
-
Updated
Dec 20, 2019
-
Updated
Nov 21, 2020
-
Updated
Nov 13, 2020 - Python
Improve this page
Add a description, image, and links to the nlu topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the nlu topic, visit your repo's landing page and select "manage topics."
Description
We should use the official mxnet batchify functions to implement our own batchify functions. However, since we'd like to later support other frameworks, we should still keep our own
batchify.py. We can change it to call MXNet implementations.MXNet batchify: https://github.com/apache/incubator-mxnet/blob/master/python/mxnet/gluon/data/batchify.py
GluonNLP batchify: https://gi