NeuroM
Pixeebot
NeuroM | Pixeebot | |
---|---|---|
1 | 1 | |
99 | - | |
- | - | |
7.5 | - | |
5 days ago | - | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | - |
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NeuroM
Pixeebot
-
Show HN: Pixeebot – a GitHub App that fixes your Sonar findings (Java/Python)
https://github.com/pixee/pygoat/pull/2/files
The changes aren't all super fancy, but we're orienting towards solving real problems and remediating issues -- grunt work you don't want to have to do, but compliance says you should (and you probably should)!
Right now, we fix around 25 of the things that Sonar commonly finds (and a lot more that it doesn't find!). You can see the complete list of things we fix here:
https://docs.pixee.ai/codemods/overview/
I'll tell you, it's so much nicer to receive PRs than tool warnings.
To try it out:
1. Install the Pixeebot GitHub App on a Sonar-monitored GitHub repository
- https://github.com/apps/pixeebot
What are some alternatives?
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
DrawBot - DrawBot lets you draw images taken from the internet on Skribbl.io, Gartic Phone and Paint
bindsnet - Simulation of spiking neural networks (SNNs) using PyTorch.
Nullboard-Backups-Server - Simple Nullboard Backups Server in Python3 (using Flask)
Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDP - What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural network sees data throughout time, and activation functions are instead spikes that are raised past a certain pre-activation threshold. Pre-activation values constantly fades if neurons aren't excited enough.