mawbray / Reinforcement-Learning-for-Bioprocesses
A study of reinforcement learning algorithms for fed-batch bioprocessesing
☆12Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for Reinforcement-Learning-for-Bioprocesses
- Hybrid Modeling Framework☆23Updated last year
- Development repository for Kipet.☆20Updated 2 years ago
- Deep reinforcement learning for design of chemical engineering processes☆29Updated last year
- ☆10Updated last year
- Reinforcement learning environments for process control applications.☆26Updated this week
- With this package, you can generate mixed-integer linear programming (MIP) models of trained artificial neural networks (ANNs) using the …☆58Updated 3 years ago
- Deep hybrid modeling of bioreactor cell culture data using Long Short-Term Memory (LSTM) networks combined with first principles equation…☆12Updated 8 months ago
- Repository for paper: "SnAKe: Bayesian Optimization with Pathwise Exploration".☆15Updated 9 months ago
- P. Petsagkourakis, I. O. Sandoval, E. Bradford, D. Zhang, E.A. del Rio-Chanona, Reinforcement learning for batch bioprocess optimization,…☆12Updated 2 years ago
- This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).☆92Updated 4 years ago
- Lightweight tools for experimental design and multi-objective optimization.☆28Updated last year
- Mechanistic models in fermentation☆15Updated 2 years ago
- A numerical platform for the digital design of pharmaceutical processes☆23Updated 2 months ago
- Master thesis spring 2019. Template to be futher used by the department of chemical engineering at NTNU,☆31Updated 10 months ago
- Multiobjective black-box optimization using gradient-boosted trees☆56Updated 4 months ago
- Deep reinforcement learning for design of distillation column trains (chemical engineering process synthesis)☆31Updated 3 years ago
- Building a Fischer–Tropsch reactive distillation simulator using Pyomo☆13Updated 5 years ago
- ☆19Updated 3 years ago
- Hands-on material for a Machine Learning in Chemical Engineering course☆90Updated last year
- Aspen HYSYS - Python connection☆55Updated last year
- Aspen Plus - Python interface which acts as an API to automate the design synthsis. It includes all variables for RADFRAC, DSTWU, Flash2,…☆54Updated last year
- A Python tool for distributed model-based predictive control of energy suppy chains☆14Updated 5 months ago
- NiravRaiyani / Implementation-and-comparison-of-Advanced-process-control-strategies-to-stirred-tank-mixing-processImplementation of Linear Quadratic Regulator (LQR), Minimum Principle and Model Predictive Control(MPC) to stirred tank mixing process☆17Updated 11 months ago
- Fast Bayesian optimization, quadrature, inference over arbitrary domain with GPU parallel acceleration☆21Updated last month
- This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).☆59Updated last year
- A tool to optimize real world problems☆74Updated this week
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆45Updated last year
- Conversion between PFDs/P&IDs and SFILES 2.0 strings☆43Updated this week
- Optimising chemical reactions using machine learning☆120Updated 2 months ago
- ☆34Updated 4 years ago