awesome-public-datasets VS tensorboard

Merry Christmas buddy.

You'll find a ton of public datasets on GitHub [1].

Maven Analytics offers a monthly data analytics challenge [2] that you can enter for free. See their past competitions for some interesting datasets.

As I'm based in Ireland I'll also recommend the Irish Data Portal [3].

[1] https://github.com/awesomedata/awesome-public-datasets

The “data.csv” file contains historical weather data from Tel Aviv, sourced from another article I wrote. If you wish, you can swap it with a public dataset, for example, from here.

If you want something personal and fun, you will need lots of different data. As such, you can take a look at these publicly available datasets. Maybe you can find out some interesting relationships.

Some others I use: https://data.world/search This github project with links: https://github.com/awesomedata/awesome-public-datasets Data.fivethirtyeight.com r/datasets and similar subreddits can also be of help.

There's a lot in here; it's a good start.

Github: Awesome Public Datasets I didn't find much of use here for me, as much of this was either very specialized or very large datasets. But maybe you'll find something of use, here.

Some form of 3D histograms? And then "discretized"/binned for each layer too. Apparently Tensorboard has them: https://github.com/tensorflow/tensorboard/blob/master/docs/r1/histograms.md

Consider filing an issue? https://github.com/tensorflow/tensorboard/issues

The async code is in our server.rs and cli.rs, because this exposes a Tonic server and Tonic is all-in on async.

A quick google search is telling me that this is possible but very poorly documented / communicated: https://github.com/tensorflow/tensorboard/issues/767

The cool part about TensorBoard is that we may run it directly in Google Colab. However, if you're running the notebook in your local installation of Jupyter you may also install it as Python package and launch it from the terminal.