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@OptiMaL-PSE-Lab

OptiML PSE Lab

Optimisation and Machine Learning for Process Systems Engineering Group - Department of Chemical Engineering @ Imperial College London

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  1. DeepDock DeepDock Public

    Code related to : O. Mendez-Lucio, M. Ahmad, E.A. del Rio-Chanona, J.K. Wegner, A Geometric Deep Learning Approach to Predict Binding Conformations of Bioactive Molecules

    Jupyter Notebook 155 27

  2. Data-driven-distributionally-robust-MPC Data-driven-distributionally-robust-MPC Public

    Python 18 2

  3. EvalRetro EvalRetro Public

    A repository for evaluating single-step retrosynthesis algorithms

    Python 13 2

  4. REINFORCE-PSE REINFORCE-PSE Public

    P. Petsagkourakis, I. O. Sandoval, E. Bradford, D. Zhang, E.A. del Rio-Chanona, Reinforcement learning for batch bioprocess optimization, Computers & Chemical Engineering, Volume 133, 2020

    Python 12 2

  5. pulsed-reactor-optimisation pulsed-reactor-optimisation Public

    This repository contains code to optimise the geometric parameters and operating conditions of a computational fluid dynamics model of a pulsed flow helical tube reactor.

    C++ 9 2

  6. Expensive-Black-Box-Optim-ChemEng Expensive-Black-Box-Optim-ChemEng Public

    Python 7 3

Repositories

Showing 10 of 21 repositories
  • pulsed-reactor-optimisation Public

    This repository contains code to optimise the geometric parameters and operating conditions of a computational fluid dynamics model of a pulsed flow helical tube reactor.

    OptiMaL-PSE-Lab/pulsed-reactor-optimisation’s past year of commit activity
    C++ 9 MIT 2 0 0 Updated Aug 19, 2024
  • EvalRetro Public

    A repository for evaluating single-step retrosynthesis algorithms

    OptiMaL-PSE-Lab/EvalRetro’s past year of commit activity
    Python 13 MIT 2 0 0 Updated Jul 23, 2024
  • CIRL Public

    Integrating PID Controllers into the deep reinforcement learning framework.

    OptiMaL-PSE-Lab/CIRL’s past year of commit activity
    Python 0 MIT 0 0 0 Updated Jul 15, 2024
  • imperial_latex_templates Public Forked from ImperialCollegeLondon/imperial_latex_templates

    Official LaTeX templates employing the Imperial College London brand.

    OptiMaL-PSE-Lab/imperial_latex_templates’s past year of commit activity
    TeX 0 6 0 0 Updated Jul 8, 2024
  • cuatro Public
    OptiMaL-PSE-Lab/cuatro’s past year of commit activity
    Python 3 MIT 0 5 0 Updated Apr 29, 2024
  • humbo Public Forked from trsav/humbo
    OptiMaL-PSE-Lab/humbo’s past year of commit activity
    Python 1 MIT 1 0 0 Updated Apr 15, 2024
  • Expensive-Black-Box-Optim-ChemEng Public
    OptiMaL-PSE-Lab/Expensive-Black-Box-Optim-ChemEng’s past year of commit activity
    Python 7 MIT 3 0 0 Updated Apr 12, 2024
  • DD-Hierarchical Public

    Exploring data-driven techniques for the hierarchical integration of planning, scheduling, and control

    OptiMaL-PSE-Lab/DD-Hierarchical’s past year of commit activity
    Python 1 0 0 0 Updated Apr 12, 2024
  • auto_discov_kin_rate_models Public

    Complete code and data for reproducibility of results presented in paper.

    OptiMaL-PSE-Lab/auto_discov_kin_rate_models’s past year of commit activity
    Julia 2 Apache-2.0 0 0 0 Updated Feb 16, 2024
  • control_neuralode Public Forked from IlyaOrson/control_neuralode

    On the use of NeuralODEs as optimal control policies: I.O. Sandoval, P. Petsagkourakis, E. A. del Rio-Chanona, “Neural ODEs as Feedback Policies for Nonlinear Optimal Control” The 22nd World Congress of the International Federation of Automatic Control (IFAC 2023)

    OptiMaL-PSE-Lab/control_neuralode’s past year of commit activity
    Julia 0 MIT 1 0 0 Updated Aug 10, 2023
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