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: Launch VM workloads securely and instantaneously, without VMs Hello HN! We've been working on a new hypervisor https://kwarantine.xyz that can run strongly isolated containers. This is still a WIP, but we wanted to give the community an idea about our approach, its benefits, and various use cases it unlocks. Today, VMs are used to host containers, and make up for the lack of strong security as well as kernel isolation in containers. This work adds this missing security piece in containers. We plan on launching a free private beta soon. Meanwhile, we'd deeply appreciate any feedback, and happy to answer any questions here or on our slack channel. Thanks! April 29, 2021 at 07:50AM
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