Name: OpenSourcist
Type: User
Company: @annotifyapp @AUCT-us @GYG-be @plyp-us
Bio: "Homines dum docent discunt!"
Be improved by those whom you can improve.
DIFFERENT than machines, humans learn best by teaching and teach best by learning
Twitter: AnnotifyApp
Location: RockRapids, Iowa
Blog: http://MarkBruns.GitHub.io
OpenSourcist's Projects
Web interface for browsing, search and filtering recent arxiv submissions
Astronomy and astrophysics core library
😎 Awesome lists about all kinds of interesting topics
:memo: An awesome Data Science repository to learn and apply for real world problems.
A curated list of awesome data sources related to elections, electoral reforms, and democratic political systems.
😎 A curated list of awesome GitHub Profile READMEs 📝
Sci-Fi worth consuming
Generate changelogs and release notes from a project's commit messages and metadata.
Custom Websearch Agent Built with Local Models, vLLM, and OpenAI
API Documentation Browser
This is a repository for immersive learning, meditation or software development.
A markdown version emoji cheat sheet
Git Source Code Mirror - This is a publish-only repository and all pull requests are ignored. Please follow Documentation/SubmittingPatches procedure for any of your improvements.
A robot powered training repository :robot:
Websearch agent built on the LangGraph framework
A community-maintained Python framework for creating mathematical animations.
My GitHub Pages social journaling approach to Christian Cognitive Behavioral Therapy (CCBT) and Christian Mindfulness Based Stress Reduction (CMBSR)
Versatile agents for long running, research intensive tasks.
Reference implementation of Mistral AI 7B v0.1 model.
Moby Project - a collaborative project for the container ecosystem to assemble container-based systems
NeMo: a toolkit for conversational AI
Nushell's main website, blog, book, and more
OpenGrok is a fast and usable source code search and cross reference engine, written in Java
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
Python Data Science Handbook: full text in Jupyter Notebooks
Forked from "Code samples for Programming Quantum Computers, from O'Reilly Media"
Qflow full end-to-end digital synthesis flow for ASIC designs
RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.