An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning
-
Updated
Mar 27, 2026 - Python
An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning
Open-source energy operating system for managing Distributed Energy Resources (DERs). Features digital twin simulation, LSTM forecasting, MILP optimization, multi-protocol adapters (Modbus/MQTT/DNP3/IEC61850/OPC-UA), and a FastAPI REST API. Production-ready with Docker, Kubernetes, and CI/CD.
Resolve the certificate chains (leaf, intermediate, and the root) for x509 certificates using the CLI or Python API. It supports PEM, DER, and PKCS7 formats and custom root certificate stores.
Distributed Energy Observability — Reference implementation for real-time telemetry, storage, and visualization of DERs (solar, storage, EVSE) using Python, PostgreSQL/Timescale, and Streamlit.
Add a description, image, and links to the der topic page so that developers can more easily learn about it.
To associate your repository with the der topic, visit your repo's landing page and select "manage topics."