aplanas

Use machine learning and natural language processing techniques to analyze the changes made in a project, and classify them in: * Small / unimportant fix

Rust, the new language from Mozilla Foundation, is a modern systems programming language focusing on safety and speed. It accomplishes these goals by being memory safe without using garbage collection. Go, D and Nim have GC integrated into the language and the standard libraries. The GC in Rust is integrated as an external library.

Objective

Mozilla's DeepSpeech project[1] is using TensorFlow and some paper from Baidu to make an open source speech to text system, based on deep learning (TensorFlow). The current project allow the training for own local datasets, but also there is a pre-trained model that can be used during the development. The goal of the project is:

The Gameshell is a small game console based on AllWinner R16 (Cortex-A7, IIRC the same CPU that the RPi2). Currently is supporting Debian, and some community member ported ArchLinux on it. The goal of the project is to port the openSUSE MicroOS distribution into the device, providing a transactional upgrade process for a canonical IoT architecture. In the process I expect to learn about ARM7, uBoot and some kernel hacking.

Project Description

ostatus is a command line tool designed to answer questions like "what deviations has my system from a fresh installed system", at least in term of installed packages.