awesome-nilm-with-code
github.com/zhgqcn/awesome-nilm-with-code ↗A repository of awesome Non-Intrusive Load Monitoring(NILM) with code.
147
GitHub Stars
18
Curated Resources
3
Categories
7 hours ago
Last Refreshed
🔥 Recent Updates📚 Reviews🚀 Deployment
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me 📌 a real-time tsetlin machine-based non-intrusive load monitoring system on mcus resources from awesome-nilm-with-code"
Installation instructions →What's inside
🔥 Recent Updates
- 🗞️
- 🗞️
- 🗞️
- Deep-NILMtk
Modular deep learning NILM toolbox (PyTorch + TensorFlow models)
- NeuralNILM_Pytorch
PyTorch re-implementation of Neural NILM
- nilm_analyzer
Disaggregation result inspection and error-analysis utilities
🚀 Deployment
- Energy Management Using Real-Time NILM📌 A Real-Time Tsetlin Machine-Based Non-Intrusive Load Monitoring System on MCUs
Arduino + Raspberry Pi
- flask-NILM-app-v1📌 A Real-Time Tsetlin Machine-Based Non-Intrusive Load Monitoring System on MCUs
Flask web app
- Inverse Decomposition of Energy Consumption (IDEC)📌 A Real-Time Tsetlin Machine-Based Non-Intrusive Load Monitoring System on MCUs
C++
Showing a sample of 18 resources. View the full list on GitHub →