Hi, I doubt that data_utils.get_num_dialog_examples() returns correct number.

In dstc8_single_domain & train, data_utils.get_num_dialog_examples() returns 82588, but the number of examples in dstc8_single_domain_train_examples.tf_record is 41294. I think these two numbers should be the same. Is it right? (The former is around as double as the latter because get_num_dialog_examples() counts USE

There seems to be conflicting data on what the "OriginGeopoint" is. In the documentation it's referenced as the location of the PlayerStart while in code it's commented as the coordinates of Unreal level at the coordinates 0,0,0.

Code:
https://github.com/microsoft/AirSim/blob/e24a11d5985c1d6f573735f28a3844bc634559db/AirLib/include/common/AirSimSettings.hpp#L350

Documentation:
https://micro

Is is possible to include the docs from https://carla.readthedocs.io/en/latest/python_api/#carla.Actor in the python library? I would prefer using the docs in my IDE rather than jumping into the browser when I have to look something up.

Thank you.

Currently, with usernames, there isn't a good recovery mechanism for users that lose their keys. Originally we were thinking to let a user reset their account if they haven't extracted a key in 30 days (with no further verification), but this would lead to users losing their usernames if they go offline for an extended period.

With email addresses, we could at least verify that the user owns th

Description
In some rare cases, for example, when you need to finetune a large model on a small dataset the majoring part of training loop is waiting for saving model checkpoints to a hard drive.

Proposal
Would be logically to add a CheckpointCallback with parameter save_n_best=0 to a configuration and do not store best checkpoints and instead use the latest state of the model.

From danijar/handout#20 (comment):

doc.add_text('<p style="page-break-before: always">')

We can add doc.add_pagebreak() if this is helpful, especially once we have a LaTeX exporter that could also support this.

In case Imgur ever closes down their hosted service, it will be a sad day.

The script should simply go through all markdown files, go to all Imgur linked images and download them to a folder.

Describe the bug
I tried to implement triple_barrier_events function. IT returned an error

KeyError: 'Passing list-likes to .loc or [] with any missing labels is no longer supported, see https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#deprecate-loc-reindex-listlike'

I can overcome the problem if I use pandas reindex function.

To Reproduce
Inside triple_b

Long running issue:

• Link mf.com web to GH mindforger-repository.
• Links directly to sections in documentation.
• Add documentation section to mf.com, and link GH from there.
• Have discussions, ...
• Written with MindForger
• I don't have to sustain it mf.com
• beginner users will be scared by seeing all files
• make links to point to beginning of doc ~ section anchor
• review web

In order to perform refactoring and to add new features with more confidence, we need unit, integration and end-to-end tests for:

• algorithm parts. Seesrc/algorithms

• React parts - components and pages. See src/components and src/pages

• State management: redux reducers and sagas. See src/state

The infrastructure:

• jest and @testing-libraryare already set up. Un

Hey Contributor!

Thanks for checking out HyperLearn!! Super appreciate it.

Since the package is new (only started like August 27th)..., Issues are the best place to start helping out, and or check out the Projects tab. There's a whole list of stuff I envisioned to complete.

Also, if you have a NEW idea: please post an issue and label it new enhancement.

In terms of priorities, I wanted

Self-explanatory.

Skill Set Challenge!

Hudson & Thames has provided the following skillset challenge to allow potential researchers to gauge if they have the required skil

There is an error in the script for fine tuning the bert baseline:
--train_precomputed=nq-train.tfrecords-00000-of-00001 \ should be
--train_precomputed_file=bert-joint-baseline/nq-train.tfrecords-00000-of-00001 \

python -m language.question_answering.bert_joint.run_nq \
  --logtostderr \
  --bert_config_file=bert-joint-baseline/bert_config.json \
  --vocab_file=bert-joint-base