BASE-Laboratory/PorousDiff

Generative Surrogate Modelling for battery electrode microstructures using Conditional 3D Diffusion. Built for Isambard-AI (GH200) to predict mechanical deformation.

20
/ 100
Experimental
No Package No Dependents
Maintenance 10 / 25
Adoption 1 / 25
Maturity 9 / 25
Community 0 / 25

How are scores calculated?

Stars

1

Forks

—

Language

—

License

BSD-3-Clause

Category

diffusion-model-frameworks

Last pushed

Jan 16, 2026

Commits (30d)

0

GitHub
Diffusion Model Frameworks · 84 tools

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/generative-ai/BASE-Laboratory/PorousDiff"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

soran-ghaderi/torchebm

🍓 Build and train energy-based and diffusion models in PyTorch ⚡.

54

opendilab/GenerativeRL

Python library for solving reinforcement learning (RL) problems using generative models (e.g....

46

spqb/adabmDCApy

Pytorch implementation of adabmDCA

42

kidist-amde/ddro

We introduce the direct document relevance optimization (DDRO) for training a pairwise ranker...

41

AstraZeneca/DiffAbXL

The official implementation of DiffAbXL benchmarked in the paper "Exploring Log-Likelihood...

39

Explore Generative AI Tools

All categories Trending Generative AI directory Insights