Alternatives and similar repositories for Training-robust-neural-networks-using-Lipschitz-bounds

Users that are interested in Training-robust-neural-networks-using-Lipschitz-bounds are comparing it to the libraries listed below

• yriyazi / Koopman-Operator-and-Deep-Neural-Networks-ISAV2023
  In this work, we present a novel approach that combines the power of Koopman operators and deep neural networks to generate a linear rep…
  ☆10Updated last year
• jbesty / PINN_system_identification
  ☆34Updated 2 years ago
• xl402 / deep-koopman
  IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control
  ☆48Updated 4 years ago
• locuslab / stable_dynamics
  Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)
  ☆33Updated 5 years ago
• sabean / Koopman
  Learning dynamical systems from data: Koopman
  ☆16Updated 5 years ago
• Baldea-Group / DySMHO
  ☆10Updated 2 years ago
• SetarehAr / ADMMBO
  An implementation of "ADMMBO, An ADMM Framework for Bayesian Optimization with Unknown Constraints''
  ☆22Updated 6 years ago
• chennnnnyize-zz / PowerSystem_RL_Attacks
  ☆14Updated 3 years ago
• drgona / PIML_ACC2023
  Material for the tutorial on "Physics-Informed Machine Learning (PIML) for Modeling and Control of Dynamical Systems" presented at the Am…
  ☆19Updated last year
• sisl / variational_koopman
  Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…
  ☆42Updated 6 years ago
• INFERLab / COHORT
  COHORT: Coordination of Heterogeneous Thermostatically Controlled Loads for Demand Flexibility
  ☆14Updated 4 years ago
• xxh0523 / Py_PSNODE
  General neural ODE and DAE modules for power system dynamic modeling.
  ☆50Updated last year
• Elizabethxyhu / NeurIPS_Two_Stage_Predict-Optimize
  ☆26Updated last year
• LeeLinJun / KoopmanControl
  ☆19Updated 5 years ago
• asikist / nnc
  A framework for neural network control of dynamical systems over graphs.
  ☆56Updated 3 years ago
• sshin23 / opf-on-gpu
  ☆10Updated last year
• HxSun08 / Alt-Diff
  ☆26Updated last year
• SchatzLabGT / SymbolicRegression
  ☆11Updated 4 years ago
• HwijaeSon / AL-PINNs
  Official code for AL-PINNS: Augmented Lagrangian relaxation method for Physics-Informed Neural Networks
  ☆11Updated 2 years ago
• chennnnnyize-zz / load_forecasts_attack
  Code repo for E-Energy 2019 paper
  ☆18Updated 5 years ago
• baggiogi / data_driven_control
  ☆43Updated 2 years ago
• gerrili1996 / DRLR_NIPS2019_exp
  The MATLAB source code
  ☆14Updated 5 years ago
• ROBUST-NL / paused_ev_charging
  Source code for the paper titled: "Unlocking the full potential of smart charging: Addressing paused and delayed charging problems in ele…
  ☆11Updated last year
• erichson / koopmanAE
  Consistent Koopman Autoencoders
  ☆74Updated 2 years ago
• GreatTM / PowerBiMIP
  PowerBiMIP is an open-source, efficient bilevel mixed-integer programming (BiMIP) solver, with a special focus on applications in power a…
  ☆32Updated last month
• ANL-CEEESA / powersas.m
  PowerSAS.m - A power grid analysis toolbox based on semi-analytical solutions (SAS) for Matlab/GNU Octave
  ☆21Updated last year
• EthanJamesLew / AutoKoopman
  AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.
  ☆79Updated last year
• Stanford-Sustainable-Systems-Lab / speech-grid-impact
  ☆13Updated 3 years ago
• RAISELab-atUVA / lagrangian-dual-deep-learning
  ☆20Updated 4 years ago
• WISPO-POP / PowerModelsWildfire.jl
  ☆10Updated last year