YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
DDPM HI Models
This repository contains merged DDPM models for HI map emulation from CAMELS simulations.
Repository Structure
DDPM-HI-models/
βββ 2param/ # 2-parameter DDPM model
β βββ [model files from DDPM-2param]
βββ 6param/ # 6-parameter DDPM model
βββ [model files from DDPM-6param]
Models
2-Parameter Model (2param/)
DDPM model with 2 parameters for HI map generation.
- Original repository: collins909/DDPM-2param
6-Parameter Model (6param/)
DDPM model with 6 labels/parameters for HI map generation.
- Original repository: collins909/DDPM-6param
Research Context
These models are part of research on emulating large-scale neutral hydrogen (HI) maps using score-based diffusion models trained on CAMELS simulation data.
Usage
Each model variant is contained in its respective folder with all necessary files.
# Example: Load the 6-parameter model
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained("collins909/DDPM-HI-models/6param")
Citation
If you use these models, please cite the original work:
- HIDM workshop paper (Hassan & Andrianomena, NeurIPS ML4PS 2023)
Contact
- Collins Maripane
- University of Cape Town, Department of Mathematics and Applied Mathematics
Inference Providers NEW
This model isn't deployed by any Inference Provider. π Ask for provider support