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Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Flask 2.0 is coming, please help us test
13 projects | reddit.com/r/Python | 16 Apr 2021
This major release of Flask is accompanied by major releases of Werkzeug, Jinja2, click, and itsdangerous which we'd also welcome and appreciate testing (their pre releases are installed with the Flask pre release).
💊Your daily dose of machine learning : Neural style transfer...but fast!
1 project | reddit.com/r/learnmachinelearning | 19 Nov 2021
Paper : https://arxiv.org/abs/1705.06830v2 Code : https://github.com/magenta/magenta/blob/main/magenta/models/arbitrary_image_stylization/README.md
Training Magenta Fast Style Transfer from scratch?
1 project | reddit.com/r/learnmachinelearning | 5 Nov 2021
I'm interested in retraining https://github.com/magenta/magenta/tree/main/magenta/models/arbitrary_image_stylization from scratch in order to test it on higher resolutions. Unfortunately it seems that some of the training sets are no longer available (Kaggle painters for instance).
1 project | reddit.com/r/tensorflow | 17 Sep 2021
Show HN: Are you playing your violin (viola, guitar, etc.) in tune?
2 projects | news.ycombinator.com | 26 Jan 2021
The problem with FFTs is that for the lower frequencies you have very few bins, but at the higher end you get ridiculous accuracy and there is no easy way to make this more linear. Binning on the high end saves some space but doesn't make the low any more accurate.
So you need to run multiple methods in parallel and decide based on the very rough distribution of the energy in the spectrum which method has the biggest chance of success, or, alternatively, to use the output of both methods to drive some logic that will assign a weight to the output of each.
It's a tricky problem, to put it mildly. Also, this is the simplest form of the problem, doing this accurately for multiple pitches at once is much harder.
Another source of inspiration is the 'onsets and frames' software that powers some automated transcription software:
I think if this code is over your head that maybe a good introduction course on signal processing would be a nice thing to have under your belt.
Best of luck!
What is a direction to head into once learning the basics in Python?
1 project | reddit.com/r/Python | 4 Jan 2021
As mentioned in other comments, doing a project would help to take the next step, especially something that'd help you personally. You might be able to do something related to music as well, see https://github.com/vinta/awesome-python#audio for some modules. There's https://github.com/magenta/magenta for generating art/music. Specializing in a niche area could help if you decide do freelancing, write books, etc.
Does Anyone Know Python Packages That Can Generate Sound Signals And Play Them?
1 project | reddit.com/r/learnpython | 3 Jan 2021
check out https://github.com/magenta/magenta (found it via https://github.com/vinta/awesome-python#miscellaneous)
What are some alternatives?
blinker - A fast Python in-process signal/event dispatching system.
Tenacity - Retrying library for Python
cppimport - Import C++ files directly from Python!
attrs - Python Classes Without Boilerplate
Pychievements - The Python Achievements Framework!
boltons - 🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.
starlette - The little ASGI framework that shines. 🌟
pluginbase - A simple but flexible plugin system for Python.