zikribayraktar / Carbon_Capture_MLLinks
Survey of all published Carbon Capture ML papers, data, code and supplemental materials for the benefit of all humanity
☆51Updated last year
Alternatives and similar repositories for Carbon_Capture_ML
Users that are interested in Carbon_Capture_ML are comparing it to the libraries listed below
Sorting:
- ☆97Updated this week
- Spring 2023 seminar on automated experiment☆22Updated 2 years ago
- DoEgen: A Python Library for Optimised Design of Experiment Generation and Evaluation☆99Updated 9 months ago
- ☆27Updated last year
- FoKL-GP implements Karhunen-Loève decomposed Gaussian processes with built-in forward variable selection. Decomposed GPs are key to embed…☆18Updated last month
- Materials for ACerS Automated Experiment Course☆20Updated 4 months ago
- Hands-on material for a Machine Learning in Chemical Engineering course☆120Updated 2 years ago
- Python Library for Generalized Gaussian Process Modeling☆27Updated 10 months ago
- Conversion between PFDs/P&IDs and SFILES 2.0 strings☆71Updated 5 months ago
- Fast Bayesian optimization, quadrature, inference over arbitrary domain with GPU parallel acceleration☆34Updated last month
- A computational framework for finding symbolic expressions from physical datasets.☆61Updated 2 years ago
- ☆41Updated 2 years ago
- The materials for the Spring Mathematics in Materials course at the UTK MSE☆50Updated last year
- A repository with examples on essential knowledge of chemical engineering.☆57Updated 2 weeks ago
- Multiobjective black-box optimization using gradient-boosted trees☆61Updated 10 months ago
- ☆39Updated last year
- Physics informed Bayesian network + autoencoder for matching process / variable / performance in solar cells.☆32Updated 4 years ago
- Mixed Variable Multi-Objective Optimisation☆20Updated 4 years ago
- Reinforcement learning for batch bioprocess optimization (Computers & Chemical Engineering, 2020)☆14Updated 3 years ago
- Heteroscedastic Bayesian Optimisation in Numpy☆22Updated 2 years ago
- Gaussian Processes for Experimental Sciences☆233Updated 6 months ago
- A tool to optimize real world problems☆119Updated last month
- This is a practical course designed for chemical engineers that want to learn the basics of AI. The course is very practical and will cov…☆68Updated 2 months ago
- ☆64Updated last year
- A curated list of online chemical engineering education resources☆176Updated 10 months ago
- The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs), Deep Neural …☆16Updated 3 years ago
- Repository for notes and exercises for ChBE 4745/6745 - Data Analytics for Chemical Engineers.☆39Updated last year
- physics-guided neural networks (phygnn)☆102Updated 4 months ago
- Gaussian process augmented with a probabilistic model of expected system's behavior☆15Updated 3 years ago
- PyTorch implementation of the EQL network, a neural network for symbolic regression☆42Updated 4 years ago