semantica-agi/semantica
Graph-Native Infrastructure for Context and Accountable AI Systems
A star delta has been computed for 62,678 of 63,382 tracked repositories in this period, and only those can be ranked in it.
A repository missing here has not been measured far enough back yet. That does not mean it did not move.
Star counts measured between 02:16 and 17:21 (BKK).
Graph-Native Infrastructure for Context and Accountable AI Systems
Symbolic Learning in Python and Julia
Make your agents talk human. ADHD-friendly output styles for Claude Code, Codex, and others. So you can pay attention, not tokens.
AI on the way. An auto deep learning pipe dream. An RDBMS approach to deep learning. Declarative, explainable, scalable, optimizable, easy to deploy, all that good stuff.
Distributed High-Performance Symbolic Regression in Julia
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.
Fit interpretable models. Explain blackbox machine learning.
Interpretability for sequence generation models 🐛 🔍
Shapley Values and Shapley Interactions for Machine Learning
That's all 10 repositories in this period.
