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612 public repositories
matching this topic...
Node.js Production Process Manager with a built-in Load Balancer.
Updated
Feb 24, 2022
JavaScript
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Native GraphQL Database with graph backend
A curated list of Site Reliability and Production Engineering resources.
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Inspired by Google's Zanzibar paper, SpiceDB is an open source database system for managing security-critical application permissions.
The checklist that is used when a project is going live
[mirror] A list of software and resources for professional audio/video/live events production on Linux.
Updated
Jan 21, 2022
Makefile
Staffjoy V1, aka "Suite" - a scheduling application for hundreds of workers
Updated
Mar 28, 2018
Python
Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
Updated
Nov 29, 2021
Jupyter Notebook
Loads environment variables from .env.[development|test|production][.local] files for Node.js® projects.
Updated
Feb 11, 2022
JavaScript
Updated
Mar 1, 2022
Python
The COVID Tracking Project website
Updated
Mar 14, 2022
JavaScript
A curated list of Site Reliability and Production Engineering Tools
Production Data Science: a workflow for collaborative data science aimed at production
Updated
May 22, 2020
Jupyter Notebook
🌲 A list of companies using Elm in production.
🐳 Production Grade, Rootless, and Optimized PHP Container Image Template for Cloud-Native Deployments and Kubernetes.
Updated
Feb 25, 2022
Dockerfile
Updated
Mar 15, 2022
Python
Redux DevTools for production (web and React Native) with a highly flexible API.
Updated
Nov 26, 2019
JavaScript
Deploy and scale serverless machine learning app - in 4 steps.
Updated
Aug 29, 2021
Jupyter Notebook
A collection of useful additions to
@Ableton Live, including better
@git integration.
Updated
Sep 16, 2017
Shell
🍺 dev only postinstall hooks (package.json)
Updated
Feb 21, 2022
JavaScript
Manage your application processes in production hassle-free like Heroku CLI with Procfile and Systemd
Updated
Feb 22, 2021
Ruby
Manufacture document generate tool for kicad.
Updated
Dec 30, 2021
Python
kicad production symbol and footprint library auto convert from JLC's integrate Altium Designer library
bring keras-models to production with tensorflow-serving and nodejs + docker 🍕
Updated
Feb 11, 2022
Python
This is a simple REST API with node and express with typescript
Updated
Jun 17, 2021
TypeScript
Collecting information about Haskell ecosystem - companies, communities, media, etc.
Updated
May 10, 2021
Haskell
Bitnami Node.js Docker Image
Updated
Mar 15, 2022
Dockerfile
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Describe the issue
Currently we run the Linter CI for golang repos using the golang-ci-linter binary. But according to the documentation it is faster and better to use the github action.
https://golangci-lint.run/usage/install/
The UX of all the error highlighting is also better.
What if we do not do this?
Finding linter errors is troublesome as users have to parse through the cons