power-flow-models

coord-trans-encoding

This is the source code for our paper "Towards high-accuracy deep learning inference of compressi...

probflow

A Python package for building Bayesian models with TensorFlow or PyTorch

PyRates

Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-im...

PyPSA-plots

Scripts to plot results form PyPSA models

Solver-in-the-Loop

Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers

PyUPPAAL

PyUPPAAL is a python package basically for reflecting UPPAAL's model editing, verification, and c...

CG-Solver-in-the-Loop

Conjugate Gradient related code for "Solver-in-the-Loop: Learning from Differentiable Physics to ...

Power_Consumption_Prediction

Future power consumption prediction using LSTM, GRU and Transformer models

DMCF

Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics (NeurIPS '22)

psst

core-tso-data

ev_chargingcoordination2017

Optimal Scheduling of Electric Vehicle Charging in Distribution Networks

PyPSA

PyPSA: Python for Power System Analysis

diffpssi

A Python based framework for differentiable power system simulation and dynamic optimization

narx-double-descent

Explore the double-descent phenomena in the context of system identification. Companion code to t...