lorenanda
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📢 Various README templates & tips on writing high-quality documentation that people want to read.
The open-source repo for docs.github.com
🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python…
Community list of startups working with AI in audio and music technology
Host repository for The Turing Way: a how to guide for reproducible data science
👩🏫 Advanced NLP with spaCy: A free online course
Templates created by The Good Docs Project - for all your tech writing needs.
A list of vendors that treat single sign-on as a luxury feature, not a core security requirement.
Fourth iteration of my personal website built with Gatsby
Code for the manim-generated scenes used in 3blue1brown videos
Simple, open source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics.
Generation of diagrams like flowcharts or sequence diagrams from text in a similar manner as markdown
A systematic approach to creating better documentation.
📝 A markup-aware linter for prose built with speed and extensibility in mind.
Dictionary database with future API and bot integrations
Supporting materials for Google's Season of Docs program
Open source driver and user-space daemon to control Razer lighting and other features on GNU/Linux
Awesome list of open-source startup alternatives to well-known SaaS products 🚀
A Telegram bot that helps you excel on your daily tasks through Node NLP.
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Awesome list of resources for analytics engineers
A novel dataset for emotion detection from Romanian text.
All Algorithms implemented in Python
Open-source vulnerability disclosure and bug bounty program database
Learn ML engineering for free in 4 months!
This is a repository that provides guidance onto how to implement cohort models in R.
Lightweight and Interpretable ML Model for Speech Emotion Recognition and Ambiguity Resolution (trained on IEMOCAP dataset)