All 34 public repositories. Commits, authors and file counts come from the mirrored git history; type and team come from the GOV.UK Developer Documentation where it covers the repository. Type to filter; click a column heading to sort.
| Repository | Language | Git size | Commits | Authors | Files | Type | Team | Status |
|---|---|---|---|---|---|---|---|---|
| CIRL Integrating PID Controllers into the deep reinforcement learning framework. | Python | 1.0 GB | 20 | 2 | 58 | active | ||
| Imperial-ML4CE-Course Imperial Chemical Engineering Machine Learning Course | Jupyter Notebook | 579.0 MB | 67 | 9 | 473 | active | ||
| DDMPC-Coursework DDMPC Coursework for the ML4CE Course at ICL | Python | 577.9 MB | 18 | 2 | 414 | active | ||
| pulsed-reactor-optimisation This repository contains code to optimise the geometric parameters and operating conditions of a | C++ | 288.2 MB | 469 | 8 | 2,139 | active | ||
| DDO-4-ChemEng Code running in parallel with book chapter "Data-driven optimization for chemical processes: mac | Jupyter Notebook | 184.9 MB | 108 | 6 | 252 | active | ||
| EvalRetro A repository for evaluating single-step retrosynthesis algorithms | Python | 152.5 MB | 218 | 5 | 101 | active | ||
| optimalpse.github.io | HTML | 127.8 MB | 842 | 16 | 531 | active CI | ||
| MolPrice Fast synthetic accessibility evaluation for fine chemicals, based on molecular price | Python | 90.3 MB | 107 | 4 | 28 | active | ||
| cdt_alicante_workshop cdt_alicante_workshop | Jupyter Notebook | 63.3 MB | 4 | 3 | 29 | active | ||
| MultiAgentRL_InventoryControl | Python | 58.9 MB | 32 | 4 | 62 | active | ||
| DeepDock Code related to : O. Mendez-Lucio, M. Ahmad, E.A. del Rio-Chanona, J.K. Wegner, A Geometric Dee | Jupyter Notebook | 36.9 MB | 30 | 4 | 88 | active docker | ||
| Physics_Informed_Symbolic_Regression Complete code and data for reproducibility of results presented in paper. | Julia | 24.8 MB | 60 | 3 | 1,046 | active | ||
| auto_react_mech_construct | Python | 21.8 MB | 90 | 3 | 86 | active | ||
| Machine-Learning-for-Chemical-Engineering | Jupyter Notebook | 13.5 MB | 40 | 1 | 10 | active | ||
| Expensive-Black-Box-Optim-ChemEng | Python | 13.3 MB | 125 | 9 | 631 | active | ||
| CarAT CarAT - Carbon Atom Tracing Framework for Industrial Chemical Value Chains. | HTML | 6.3 MB | 67 | 2 | 30 | active CI | ||
| Data-driven-coordination | Python | 4.5 MB | 20 | 2 | 204 | active | ||
| MORetro Multi-Objective Computer-Aided Synthesis Planner | Python | 4.5 MB | 93 | 4 | 109 | active CI docker | ||
| imperial_latex_templates Official LaTeX templates employing the Imperial College London brand. | TeX | 3.0 MB | 18 | 2 | 34 | active CI | ||
| Gaussian-Process-from-scratch An educational implementation Gaussian processes. | Jupyter Notebook | 2.1 MB | 12 | 1 | 2 | active | ||
| humbo | Python | 1.9 MB | 132 | 3 | 33 | active | ||
| rmpa | Python | 1.6 MB | 38 | 3 | 20 | active | ||
| cuatro | Python | 1.4 MB | 39 | 3 | 38 | active | ||
| auto_discov_kin_rate_models Complete code and data for reproducibility of results presented in paper. | Julia | 1.3 MB | 30 | 3 | 730 | active | ||
| DD-Hierarchical Exploring data-driven techniques for the hierarchical integration of planning, scheduling, and c | Python | 1.2 MB | 22 | 2 | 175 | active | ||
| control_neuralode On the use of NeuralODEs as optimal control policies: I.O. Sandoval, P. Petsagkourakis, E. A. de | Julia | 944.1 kB | 177 | 2 | 34 | active | ||
| coding_workshop This repository contains problem sets and updates to do with the OptiMaL PSE Coding Workshop. | Python | 855.0 kB | 31 | 8 | 28 | active | ||
| ml_coursework | C++ | 824.3 kB | 78 | 3 | 32 | active docker | ||
| Bayesian-optimization-with-GPs An educational implementation of Bayesian optimization using Gaussian processes. | Jupyter Notebook | 741.4 kB | 3 | 1 | 2 | active | ||
| Sketch2Simulation Sketch2Simulation: Automating Flowsheet Generation via Multi Agent Large Language Models | Python | 603.1 kB | 15 | 1 | 33 | active CI | ||
| Data-driven-distributionally-robust-MPC | Python | 418.8 kB | 17 | 1 | 17 | active | ||
| ML-course Supporting material for the ICL ChemEng department Machine Learning course | - | 224.3 kB | 5 | 2 | 8 | active | ||
| REINFORCE-PSE Reinforcement learning for batch bioprocess optimization (Computers & Chemical Engineering, 2020 | Python | 156.7 kB | 158 | 3 | 18 | active | ||
| LP_Pyomo A short educational implementation of Linear Programming in Pyomo. | Jupyter Notebook | 29.7 kB | 20 | 4 | 4 | active |