Stars
High-resolution, low-overhead systems and service telemetry
A graph-native memory system for AI agents and context graphs. Store conversations, build knowledge graphs, and let your agents learn from their own reasoning — all backed by Neo4j.
🔴🟡🟢 The Amazing Multipurpose Policy Engine (and L)
🍺 Alcoholless: lightweight security sandbox for Homebrew, AI agents, etc. on macOS
Python/C++ library for distribution power system analysis
Score any document. Prove every claim.
A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎，预测万物
Implementation of Deep Statistical Solver for Distribution System State Estimation
In this notebook i have worked on SCGRID germany network example and try to understand and explain the day ahead electricty market concept, specially nodal vs zonal market, and grid congestion#
Resources for the Energy System Modelling course by Tom Brown at Karlsruhe Institute of Technology (2020).
Some (relatively) lightweight short-term Energy Forecasting Tools for solar, wind, and load.
Thermal modeling for transmission lines in Julia based on IEEE Standard 738-2012
PyTheus, a highly-efficient discovery framework for quantum optical experiments
Forecasting high-impact research topics via machine learning on evolving knowledge graphs
WhyHow Knowledge Graph Studio
A collection of guides and examples for the Gemma open models from Google.
Transmission Ratings and Operating Limits Information Exchange
Generate modern Python clients from OpenAPI