mxnet

Description

This is a documentation bug. The parameter of API mxnet.test_utils.check_numeric_gradient is not consistent between signature and Parameter section. There is a parameter check_eps in the Parameter section, but it is not in the signature.

Link to document: https://mxnet.apache.org/versions/1.6/api/python/docs/api/mxnet/test_utils/index.html#mxnet.test_utils.check_numeric_gra

We should sort imports with isort to keep the import section clean

Hi,
I need to download the something-to-something and jester datasets. But the 20bn website "https://20bn.com" are not available for weeks, the error message is "503 Service Temporarily Unavailable".

I have already downloaded the video data of something-to-something v2, and I need the label dataset. For the Jester, I need both video and label data. Can someone share me the

Hi, I was wondering, is DALI currently compatible with tensorcom? And if so, are there any examples showing how to use DALI with a tensorcom data server, for example, like this?

I have the same hardware envs, same network, but I could not get the result as you, almost half as you. Any best practices and experience? thanks very much! for bytePS with 1 instance and 8 GPU, I have similar testing result.

Use case

Polyaxon tracking can be used to automatically log all information generated by Ludwig.

We should probably think about adding support for Polyaxon's tracking module in Ludwig contrib.

Description

The studentT distribution from torch expects positive (x > 0) constraint on the scale and df parameters. The current implementation takes softplus(input) and softplus(-120) > 0 results in False

To Reproduce

(Please provide minimal example of code snippet that reproduces the error. For existing examples, please provide link.)

from gluonts.torch.modules.distribut

Description

This issue is to create the TabNet model and add it to the basic model zoo. TabNet is a good example of a deep learning model that will work with the tabular modality. Then, it can be trained or tested with an implementation of the CsvDataset such as AirfoilRandomAccess or AmesRandomAccess.

References

• Paper: [TabNet: Attentive Interpretable Tabular Learning](htt

Description

While using tokenizers.create with the model and vocab file for a custom corpus, the code throws an error and is not able to generate the BERT vocab file

Error Message

ValueError: Mismatch vocabulary! All special tokens specified must be control tokens in the sentencepiece vocabulary.

To Reproduce

from gluonnlp.data import tokenizers
tokenizers.create('spm', model_p