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| pipeline_tag: image-to-image | |
| library_name: pytorch | |
| license: apache-2.0 | |
| tags: | |
| - weather-radar | |
| - precipitation-nowcasting | |
| - diffusion-models | |
| - generative-ai | |
| - deep-learning | |
| datasets: | |
| - maly-javornik-shmu | |
| # Pretrained Checkpoints for Radar Precipitation Nowcasting Benchmark | |
| Repository ini menyediakan bobot model (checkpoints) terlatih untuk inferensi dan evaluasi nowcasting presipitasi berbasis data radar SHMU Maly Javornik (domain 340x340 km2). | |
| ## Arsitektur Model | |
| | Model | Checkpoint File | Ukuran | Arsitektur Dasar | | |
| | :--- | :--- | :--- | :--- | | |
| | **GenLUPIN** | `checkpoints/genlupin.ckpt` | ~52 MB | Lagrangian-Eulerian Score-based EDM Diffusion (~4.29 M parameter) | | |
| | **LUPIN** | `checkpoints/lupin.ckpt` | ~382 MB | Deterministic Dual U-Net with physics-based advection (~31.87 M parameter) | | |
| | **DiffCast** | `checkpoints/diffcast_simvp.pt` | ~922 MB | Latent Diffusion Model based on SimVP and ContextNet (~57.56 M parameter) | | |
| | **MFUNet** | `checkpoints/mfunet.ckpt` | ~2 MB | Motion Field U-Net untuk pemodelan temporal (~0.49 M parameter) | | |
| ## Struktur Repositori | |
| nowcasting-radar-checkpoints/ | |
| βββ README.md | |
| βββ .gitattributes | |
| βββ checkpoints/ | |
| βββ genlupin.ckpt | |
| βββ lupin.ckpt | |
| βββ diffcast_simvp.pt | |
| βββ mfunet.ckpt | |