zikribayraktar/Carbon_Capture_ML
Survey of all published Carbon Capture ML papers, data, code and supplemental materials for the benefit of all humanity
This is a curated collection of published research papers, datasets, and code related to using machine learning for carbon capture. It helps scientists and engineers in carbon capture research quickly find, duplicate, and build upon existing work in areas like material design and process modeling. The input is a research question, and the output is a set of relevant papers, code, and data to accelerate carbon capture technology development.
No commits in the last 6 months.
Use this if you are a researcher or engineer in carbon capture needing to find and explore existing machine learning applications to accelerate your work.
Not ideal if you are looking for a ready-to-use software solution for carbon capture without engaging with research literature or code.
Stars
51
Forks
8
Language
—
License
MIT
Category
Last pushed
May 08, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/zikribayraktar/Carbon_Capture_ML"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
lmcinnes/umap
Uniform Manifold Approximation and Projection
pyRiemann/pyRiemann
Machine learning for multivariate data through the Riemannian geometry of positive definite...
geomstats/geomstats
Computations and statistics on manifolds with geometric structures.
higra/Higra
Hierarchical Graph Analysis
pavlin-policar/openTSNE
Extensible, parallel implementations of t-SNE