Show HN: Autocomplete Python Code with Transformers This is a small project we created to train a character level autoregressive transformer (or LSTM) model to predict Python source code. We trained it on GitHub repositories found on awesome pytorch list. Github repo: https://ift.tt/3pNn9pS You can try training on Google Colab: https://ift.tt/3887Fqm Here are some sample evaluations/visualizations of the trained model: https://ift.tt/38d7Y38 Working on a simple VSCode extension to test this out. Will open source it soon on the same repository. January 4, 2021 at 04:31PM
Show HN: StreetComplete, an OpenStreetMap Editor for Humans StreetComplete is an OpenStreetMap[0] editor directed at people who want to contribute and want to do this using their smartphone, without learning how to edit things[1]. It is available as an Android application. It is intended to be used as one walks, with quests appearing as markers on the map. Selecting a marker allows one to answer a simple question. The answer will be added to the OpenStreetMap database, with app handling selecting objects for editing, transforming answer into OSM tags and making edits. OpenStreetMap account is needed to apply edits, but it is possible to start without it, make some edits and login/register later. Note: I am not the main author, but I am one of the active contributors. Github page is at https://ift.tt/2g8lasH and https://ift.tt/3nR9PzS shows what was recently released. [0]OpenStreetMap is a Wikipedia of maps, available on the open licence. This dataset is already used for many interestin...
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