Open-weight model
seismic-interpolation-benchmark
by GeoBrain GeoBrain/seismic-interpolation-benchmark
Deep-learning-based missing-trace reconstruction on pre-stack seismic shot gathers. Given a shot gather with masked (missing) traces, the model reconstructs the full gather.
Parameters—
Context—
Weights67.8 GB
License—
AccessOpen weights
Monthly Downloads—
Model Card
Deep-learning-based missing-trace reconstruction on pre-stack seismic shot gathers. Given a shot gather with masked (missing) traces, the model reconstructs the full gather. Each experiment is one architecture trained on one missing-trace scenario with one random seed. Model directories are suffixed with the dataset the model was trained on: - mobil — Mobil field dataset (pre-stack seismic shot gathers) - segc3 — SEG C3 synthetic dataset (wiki.seg.org/wiki/C3): 9 regular shots, 201 traces x 625 time samples, dt = 2 ms - Chai2020 UNet (chai2020unet) — 2D U-Net (Chai et al., 2020, IEEE TGRS, DOI 10.1109/TGRS.2019.2961015): 50 layers = 19 convolutions (5x5, same padding) + 18 ReLU + 4 max-pool…
Excerpt from the card by GeoBrain.
Identity and Version
- Repository
- GeoBrain/seismic-interpolation-benchmark
- Publisher
- GeoBrain
- Task
- Not stated by the source
- Modality
- Other
- Library
- pytorch
- Parameters
- Not stated by the source
- Languages
- seg-c3
- Revision
- 68e0315c020acbcdc01b97b54ae354b9020da1a8
- First published
- 2026-09-08
- Last updated
- 2026-09-18
Files and Weights
283 files, 67.8 GB in total. The weights are 137 files totalling 67.8 GB in pt.
Weights137 files · 67.8 GB
Configuration138 files · 609.0 KB
Documentation2 files · 10.9 KB
Other5 files · 110.1 KB
Repository1 file · 1.5 KB
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| models/chai2020_unet_seg_c3/continuous_miss20tr/seed42/best.pt | Weights | 1.0 GB | e05fc57779e7 |
| models/chai2020_unet_seg_c3/continuous_miss20tr/seed43/best.pt | Weights | 1.0 GB | 3b6836d4c84e |
| models/chai2020_unet_seg_c3/continuous_miss20tr/seed44/best.pt | Weights | 1.0 GB | e9bc77a4eb97 |
| models/chai2020_unet_seg_c3/continuous_miss30tr/seed42/best.pt | Weights | 1.0 GB | 032ec2e92597 |
| models/chai2020_unet_seg_c3/continuous_miss30tr/seed43/best.pt | Weights | 1.0 GB | 8a89c4316eda |
| models/chai2020_unet_seg_c3/continuous_miss30tr/seed44/best.pt | Weights | 1.0 GB | 8aff4dc11fac |
| models/chai2020_unet_seg_c3/continuous_miss40tr/seed42/best.pt | Weights | 1.0 GB | 74b7c7bce68b |
| models/chai2020_unet_seg_c3/continuous_miss40tr/seed43/best.pt | Weights | 1.0 GB | 9b09a3ffdb7f |
| models/chai2020_unet_seg_c3/continuous_miss40tr/seed44/best.pt | Weights | 1.0 GB | 5ae8bf110846 |
| models/chai2020_unet_seg_c3/random_miss30/seed42/best.pt | Weights | 1.0 GB | da5df96dfcca |
| models/chai2020_unet_seg_c3/random_miss30/seed43/best.pt | Weights | 1.0 GB | 5ca2212a435f |
| models/chai2020_unet_seg_c3/random_miss30/seed44/best.pt | Weights | 1.0 GB | 28a9f5165b0a |
| models/chai2020_unet_seg_c3/random_miss50/seed42/best.pt | Weights | 1.0 GB | 5fab7420af60 |
| models/chai2020_unet_seg_c3/random_miss50/seed43/best.pt | Weights | 1.0 GB | 7b586ad12414 |
| models/chai2020_unet_seg_c3/random_miss50/seed44/best.pt | Weights | 1.0 GB | 6b13b8666ab4 |
| models/chai2020_unet_seg_c3/uniform_miss30/seed42/best.pt | Weights | 1.0 GB | d26999ed1fe8 |
| models/chai2020_unet_seg_c3/uniform_miss30/seed43/best.pt | Weights | 1.0 GB | 32e7acb1fe58 |
| models/chai2020_unet_seg_c3/uniform_miss30/seed44/best.pt | Weights | 1.0 GB | 784602bf0e4f |
| models/chai2020_unet_seg_c3/uniform_miss50/seed42/best.pt | Weights | 1.0 GB | 818e46017b5d |
| models/chai2020_unet_seg_c3/uniform_miss50/seed43/best.pt | Weights | 1.0 GB | fa0bc3440baa |
| models/chai2020_unet_seg_c3/uniform_miss50/seed44/best.pt | Weights | 1.0 GB | 041a89afeec8 |
| models/chai2020_unet_seg_c3/uniform_miss70/seed42/best.pt | Weights | 1.0 GB | a0719c8ee4f9 |
| models/chai2020_unet_seg_c3/uniform_miss70/seed43/best.pt | Weights | 1.0 GB | b99fb7f81066 |
| models/chai2020_unet_seg_c3/uniform_miss70/seed44/best.pt | Weights | 1.0 GB | e4e66f36d022 |
| models/gated_transformer_v9_seg_c3/continuous_miss20tr/seed42/best.pt | Weights | 1.4 GB | 45e3cb1eeede |
| models/gated_transformer_v9_seg_c3/continuous_miss20tr/seed43/best.pt | Weights | 1.4 GB | e13a72e8a640 |
| models/gated_transformer_v9_seg_c3/continuous_miss20tr/seed44/best.pt | Weights | 1.4 GB | 66f31423aee4 |
| models/gated_transformer_v9_seg_c3/continuous_miss30tr/seed42/best.pt | Weights | 1.4 GB | 0f43b6b0f53c |
| models/gated_transformer_v9_seg_c3/continuous_miss30tr/seed43/best.pt | Weights | 1.4 GB | ca6048ee7e62 |
| models/gated_transformer_v9_seg_c3/continuous_miss30tr/seed44/best.pt | Weights | 1.4 GB | 21e910defb52 |
| models/gated_transformer_v9_seg_c3/continuous_miss40tr/seed42/best.pt | Weights | 1.4 GB | b85bca1578bb |
| models/gated_transformer_v9_seg_c3/continuous_miss40tr/seed43/best.pt | Weights | 1.4 GB | 1b40b4a30fb9 |
| models/gated_transformer_v9_seg_c3/continuous_miss40tr/seed44/best.pt | Weights | 1.4 GB | 5b6098968e75 |
| models/gated_transformer_v9_seg_c3/random_miss30/seed42/best.pt | Weights | 1.4 GB | 922d007b32e1 |
| models/gated_transformer_v9_seg_c3/random_miss30/seed43/best.pt | Weights | 1.4 GB | 541786c4a0c4 |
| models/gated_transformer_v9_seg_c3/random_miss30/seed44/best.pt | Weights | 1.4 GB | 6c4e9cf57dcb |
| models/gated_transformer_v9_seg_c3/random_miss50/seed42/best.pt | Weights | 1.4 GB | 03d2d9adee12 |
| models/gated_transformer_v9_seg_c3/random_miss50/seed43/best.pt | Weights | 1.4 GB | 0adc5542114f |
| models/gated_transformer_v9_seg_c3/random_miss50/seed44/best.pt | Weights | 1.4 GB | a57a17a147c4 |
| models/gated_transformer_v9_seg_c3/uniform_miss50/seed42/best.pt | Weights | 1.4 GB | bf9d84e1b0ac |
| models/gated_transformer_v9_seg_c3/uniform_miss50/seed43/best.pt | Weights | 1.4 GB | df9e33bf5e6f |
| models/gated_transformer_v9_seg_c3/uniform_miss70/seed42/best.pt | Weights | 1.4 GB | 69934f72fe64 |
| models/gated_transformer_v9_seg_c3/uniform_miss70/seed43/best.pt | Weights | 1.4 GB | 9b0f77cc30a9 |
| models/gated_transformer_v9_seg_c3/uniform_miss70/seed44/best.pt | Weights | 1.4 GB | b412d9434781 |
| models/li2022_caunet_seg_c3/continuous_miss20tr/seed42/best.pt | Weights | 93.6 MB | f899b0109ae2 |
| models/li2022_caunet_seg_c3/continuous_miss20tr/seed43/best.pt | Weights | 93.6 MB | b532a65a4834 |
| models/li2022_caunet_seg_c3/continuous_miss20tr/seed44/best.pt | Weights | 93.6 MB | 138662ef572b |
| models/li2022_caunet_seg_c3/continuous_miss30tr/seed42/best.pt | Weights | 93.6 MB | 33b4ac57d330 |
| models/li2022_caunet_seg_c3/continuous_miss30tr/seed43/best.pt | Weights | 93.6 MB | 4458c31db987 |
| models/li2022_caunet_seg_c3/continuous_miss30tr/seed44/best.pt | Weights | 93.6 MB | cf0543a29b41 |
| models/li2022_caunet_seg_c3/continuous_miss40tr/seed42/best.pt | Weights | 93.6 MB | 3b5b55e2a856 |
| models/li2022_caunet_seg_c3/continuous_miss40tr/seed43/best.pt | Weights | 93.6 MB | 334c392a0dde |
| models/li2022_caunet_seg_c3/continuous_miss40tr/seed44/best.pt | Weights | 93.6 MB | d614cb3c9b77 |
| models/li2022_caunet_seg_c3/random_miss30/seed42/best.pt | Weights | 93.6 MB | 87705d7d4c54 |
| models/li2022_caunet_seg_c3/random_miss30/seed43/best.pt | Weights | 93.6 MB | 81b2ed5a5210 |
| models/li2022_caunet_seg_c3/random_miss30/seed44/best.pt | Weights | 93.6 MB | 9b255a29e07b |
| models/li2022_caunet_seg_c3/random_miss50/seed42/best.pt | Weights | 93.6 MB | 07c132b8a944 |
| models/li2022_caunet_seg_c3/random_miss50/seed43/best.pt | Weights | 93.6 MB | 867cf87ab65c |
| models/li2022_caunet_seg_c3/random_miss50/seed44/best.pt | Weights | 93.6 MB | 3bf0fe40264f |
| models/li2022_caunet_seg_c3/uniform_miss50/seed42/best.pt | Weights | 93.6 MB | 870ef7b87a36 |
| models/li2022_caunet_seg_c3/uniform_miss50/seed43/best.pt | Weights | 93.6 MB | 5eee0c4706eb |
| models/li2022_caunet_seg_c3/uniform_miss50/seed44/best.pt | Weights | 93.6 MB | 1520eba300ee |
| models/li2022_caunet_seg_c3/uniform_miss70/seed42/best.pt | Weights | 93.6 MB | a1ad56c146b7 |
| models/li2022_caunet_seg_c3/uniform_miss70/seed43/best.pt | Weights | 93.6 MB | 47d0a9c1a0e2 |
| models/li2022_caunet_seg_c3/uniform_miss70/seed44/best.pt | Weights | 93.6 MB | 71b00aef598d |
| models/liu2022_wrdl_seg_c3/continuous_miss20tr/seed42/best.pt | Weights | 429.9 MB | 18f7f1855e60 |
| models/liu2022_wrdl_seg_c3/continuous_miss20tr/seed43/best.pt | Weights | 429.9 MB | 379f06b0ee80 |
| models/liu2022_wrdl_seg_c3/continuous_miss20tr/seed44/best.pt | Weights | 429.9 MB | 9dfc603a3a0e |
| models/liu2022_wrdl_seg_c3/continuous_miss30tr/seed42/best.pt | Weights | 429.9 MB | b4f7a96c2b20 |
| models/liu2022_wrdl_seg_c3/continuous_miss30tr/seed43/best.pt | Weights | 429.9 MB | 3d96d786af6e |
| models/liu2022_wrdl_seg_c3/continuous_miss30tr/seed44/best.pt | Weights | 429.9 MB | aa877b3f27e1 |
| models/liu2022_wrdl_seg_c3/continuous_miss40tr/seed42/best.pt | Weights | 429.9 MB | 079b475f97c7 |
| models/liu2022_wrdl_seg_c3/continuous_miss40tr/seed43/best.pt | Weights | 429.9 MB | cfd557de1682 |
| models/liu2022_wrdl_seg_c3/continuous_miss40tr/seed44/best.pt | Weights | 429.9 MB | 9faef735b8d9 |
| models/liu2022_wrdl_seg_c3/random_miss30/seed42/best.pt | Weights | 429.9 MB | d11628ab1bae |
| models/liu2022_wrdl_seg_c3/random_miss30/seed43/best.pt | Weights | 429.9 MB | fa30d35f17af |
| models/liu2022_wrdl_seg_c3/random_miss30/seed44/best.pt | Weights | 429.9 MB | fcd242c7ad8c |
| models/liu2022_wrdl_seg_c3/random_miss50/seed42/best.pt | Weights | 429.9 MB | cf6eddc9480f |
| models/liu2022_wrdl_seg_c3/random_miss50/seed43/best.pt | Weights | 429.9 MB | 88a59619628a |
| models/liu2022_wrdl_seg_c3/random_miss50/seed44/best.pt | Weights | 429.9 MB | 750e073cb610 |
| models/liu2022_wrdl_seg_c3/uniform_miss50/seed42/best.pt | Weights | 429.9 MB | f792ff094ef4 |
| models/liu2022_wrdl_seg_c3/uniform_miss50/seed43/best.pt | Weights | 429.9 MB | 3d7f6a91583f |
| models/liu2022_wrdl_seg_c3/uniform_miss50/seed44/best.pt | Weights | 429.9 MB | 9224ebc55164 |
| models/liu2022_wrdl_seg_c3/uniform_miss70/seed42/best.pt | Weights | 429.9 MB | a62f0375a279 |
| models/liu2022_wrdl_seg_c3/uniform_miss70/seed43/best.pt | Weights | 429.9 MB | 62695a301dc0 |
| models/liu2022_wrdl_seg_c3/uniform_miss70/seed44/best.pt | Weights | 429.9 MB | 95a0a94236bd |
| models/park2022_cfunet_continuous_seg_c3/continuous_miss20tr/seed43/best.pt | Weights | 88.3 MB | 70fd48f68d0a |
| models/park2022_cfunet_continuous_seg_c3/continuous_miss20tr/seed44/best.pt | Weights | 88.3 MB | 3e9f10088e85 |
| models/park2022_cfunet_continuous_seg_c3/continuous_miss30tr/seed43/best.pt | Weights | 88.3 MB | f230a90cb7a2 |
| models/park2022_cfunet_continuous_seg_c3/continuous_miss30tr/seed44/best.pt | Weights | 88.3 MB | 9b688fa4e0c1 |
| models/park2022_cfunet_continuous_seg_c3/continuous_miss40tr/seed43/best.pt | Weights | 88.3 MB | 9e465c6a62f9 |
| models/park2022_cfunet_continuous_seg_c3/continuous_miss40tr/seed44/best.pt | Weights | 88.3 MB | aa4b18586beb |
| models/park2022_cfunet_seg_c3/cfunet_random_miss50-88/seed42/best.pt | Weights | 88.3 MB | 3b69249abb85 |
| models/park2022_cfunet_seg_c3/cfunet_random_miss50-88/seed43/best.pt | Weights | 88.3 MB | 826272080514 |
| models/park2022_cfunet_seg_c3/cfunet_random_miss50-88/seed44/best.pt | Weights | 88.3 MB | 117b756789b2 |
| models/park2022_cfunet_seg_c3/continuous_miss20tr/seed42/best.pt | Weights | 88.3 MB | 3b69249abb85 |
| models/park2022_cfunet_seg_c3/continuous_miss20tr/seed43/best.pt | Weights | 88.3 MB | 826272080514 |
| models/park2022_cfunet_seg_c3/continuous_miss20tr/seed44/best.pt | Weights | 88.3 MB | 117b756789b2 |
| models/park2022_cfunet_seg_c3/continuous_miss30tr/seed42/best.pt | Weights | 88.3 MB | 3b69249abb85 |
| models/park2022_cfunet_seg_c3/continuous_miss30tr/seed43/best.pt | Weights | 88.3 MB | 826272080514 |
| models/park2022_cfunet_seg_c3/continuous_miss30tr/seed44/best.pt | Weights | 88.3 MB | 117b756789b2 |
| models/park2022_cfunet_seg_c3/continuous_miss40tr/seed42/best.pt | Weights | 88.3 MB | 3b69249abb85 |
| models/park2022_cfunet_seg_c3/continuous_miss40tr/seed43/best.pt | Weights | 88.3 MB | 826272080514 |
| models/park2022_cfunet_seg_c3/continuous_miss40tr/seed44/best.pt | Weights | 88.3 MB | 117b756789b2 |
| models/park2022_cfunet_seg_c3/random_miss30/seed42/best.pt | Weights | 88.3 MB | 3b69249abb85 |
| models/park2022_cfunet_seg_c3/random_miss30/seed43/best.pt | Weights | 88.3 MB | 826272080514 |
| models/park2022_cfunet_seg_c3/random_miss30/seed44/best.pt | Weights | 88.3 MB | 117b756789b2 |
| models/park2022_cfunet_seg_c3/random_miss50/seed42/best.pt | Weights | 88.3 MB | 3b69249abb85 |
| models/park2022_cfunet_seg_c3/random_miss50/seed43/best.pt | Weights | 88.3 MB | 826272080514 |
| models/park2022_cfunet_seg_c3/random_miss50/seed44/best.pt | Weights | 88.3 MB | 117b756789b2 |
| models/park2022_cfunet_seg_c3/uniform_miss50/seed42/best.pt | Weights | 88.3 MB | 3b69249abb85 |
| models/park2022_cfunet_seg_c3/uniform_miss50/seed43/best.pt | Weights | 88.3 MB | 826272080514 |
| models/park2022_cfunet_seg_c3/uniform_miss50/seed44/best.pt | Weights | 88.3 MB | 117b756789b2 |
| models/park2022_cfunet_seg_c3/uniform_miss70/seed42/best.pt | Weights | 88.3 MB | 3b69249abb85 |
| models/park2022_cfunet_seg_c3/uniform_miss70/seed43/best.pt | Weights | 88.3 MB | 826272080514 |
| models/park2022_cfunet_seg_c3/uniform_miss70/seed44/best.pt | Weights | 88.3 MB | 117b756789b2 |
| models/yu2022_anet_seg_c3/continuous_miss20tr/seed42/best.pt | Weights | 84.7 MB | 92a7e52c17df |
| models/yu2022_anet_seg_c3/continuous_miss20tr/seed43/best.pt | Weights | 84.7 MB | 27ee31ced476 |
| models/yu2022_anet_seg_c3/continuous_miss20tr/seed44/best.pt | Weights | 84.7 MB | 485f68c10646 |
| models/yu2022_anet_seg_c3/continuous_miss30tr/seed42/best.pt | Weights | 84.7 MB | 7b49f61bf328 |
| models/yu2022_anet_seg_c3/continuous_miss30tr/seed43/best.pt | Weights | 84.7 MB | fe9fc431e22a |
| models/yu2022_anet_seg_c3/continuous_miss30tr/seed44/best.pt | Weights | 84.7 MB | 6bcdced5ccae |
| models/yu2022_anet_seg_c3/continuous_miss40tr/seed42/best.pt | Weights | 84.7 MB | 431297750370 |
| models/yu2022_anet_seg_c3/continuous_miss40tr/seed43/best.pt | Weights | 84.7 MB | cfeeb475123c |
| models/yu2022_anet_seg_c3/continuous_miss40tr/seed44/best.pt | Weights | 84.7 MB | 655c0db4e36b |
| models/yu2022_anet_seg_c3/random_miss30/seed42/best.pt | Weights | 84.7 MB | f072bf8a44a2 |
| models/yu2022_anet_seg_c3/random_miss30/seed43/best.pt | Weights | 84.7 MB | 61d88c926af5 |
| models/yu2022_anet_seg_c3/random_miss30/seed44/best.pt | Weights | 84.7 MB | 2c67080ed814 |
| models/yu2022_anet_seg_c3/random_miss50/seed42/best.pt | Weights | 84.7 MB | aaca792f7d7a |
| models/yu2022_anet_seg_c3/random_miss50/seed43/best.pt | Weights | 84.7 MB | 7ffff2d4264d |
| models/yu2022_anet_seg_c3/random_miss50/seed44/best.pt | Weights | 84.7 MB | fb2635dddd5c |
| models/yu2022_anet_seg_c3/uniform_miss50/seed42/best.pt | Weights | 84.7 MB | 4ce0e3afa7d4 |
| models/yu2022_anet_seg_c3/uniform_miss50/seed43/best.pt | Weights | 84.7 MB | be09219dd7dd |
| models/yu2022_anet_seg_c3/uniform_miss50/seed44/best.pt | Weights | 84.7 MB | f984addef1b6 |
| models/yu2022_anet_seg_c3/uniform_miss70/seed42/best.pt | Weights | 84.7 MB | fbb7dabc10cf |
| models/yu2022_anet_seg_c3/uniform_miss70/seed43/best.pt | Weights | 84.7 MB | c45010d1e237 |
| models/yu2022_anet_seg_c3/uniform_miss70/seed44/best.pt | Weights | 84.7 MB | deba1aac16e9 |
| models/L_atten_unet_seg_c3/uniform_miss75/seed42/config.yaml | Configuration | 1.6 KB | — |
| models/chai2020_unet_seg_c3/continuous_miss20tr/seed42/config.yaml | Configuration | 4.6 KB | — |
| models/chai2020_unet_seg_c3/continuous_miss20tr/seed43/config.yaml | Configuration | 4.6 KB | — |
| models/chai2020_unet_seg_c3/continuous_miss20tr/seed44/config.yaml | Configuration | 4.6 KB | — |
| models/chai2020_unet_seg_c3/continuous_miss30tr/seed42/config.yaml | Configuration | 4.6 KB | — |
| models/chai2020_unet_seg_c3/continuous_miss30tr/seed43/config.yaml | Configuration | 4.6 KB | — |
| models/chai2020_unet_seg_c3/continuous_miss30tr/seed44/config.yaml | Configuration | 4.6 KB | — |
| models/chai2020_unet_seg_c3/continuous_miss40tr/seed42/config.yaml | Configuration | 4.6 KB | — |
| models/chai2020_unet_seg_c3/continuous_miss40tr/seed43/config.yaml | Configuration | 4.6 KB | — |
| models/chai2020_unet_seg_c3/continuous_miss40tr/seed44/config.yaml | Configuration | 4.6 KB | — |
| models/chai2020_unet_seg_c3/random_miss30/seed42/config.yaml | Configuration | 4.5 KB | — |
| models/chai2020_unet_seg_c3/random_miss30/seed43/config.yaml | Configuration | 4.5 KB | — |
| models/chai2020_unet_seg_c3/random_miss30/seed44/config.yaml | Configuration | 4.5 KB | — |
| models/chai2020_unet_seg_c3/random_miss50/seed42/config.yaml | Configuration | 4.5 KB | — |
| models/chai2020_unet_seg_c3/random_miss50/seed43/config.yaml | Configuration | 4.5 KB | — |
| models/chai2020_unet_seg_c3/random_miss50/seed44/config.yaml | Configuration | 4.5 KB | — |
| models/chai2020_unet_seg_c3/uniform_miss30/seed42/config.yaml | Configuration | 4.5 KB | — |
| models/chai2020_unet_seg_c3/uniform_miss30/seed43/config.yaml | Configuration | 4.5 KB | — |
| models/chai2020_unet_seg_c3/uniform_miss30/seed44/config.yaml | Configuration | 4.5 KB | — |
| models/chai2020_unet_seg_c3/uniform_miss50/seed42/config.yaml | Configuration | 4.5 KB | — |
| models/chai2020_unet_seg_c3/uniform_miss50/seed43/config.yaml | Configuration | 4.5 KB | — |
| models/chai2020_unet_seg_c3/uniform_miss50/seed44/config.yaml | Configuration | 4.5 KB | — |
| models/chai2020_unet_seg_c3/uniform_miss70/seed42/config.yaml | Configuration | 4.5 KB | — |
| models/chai2020_unet_seg_c3/uniform_miss70/seed43/config.yaml | Configuration | 4.5 KB | — |
| models/chai2020_unet_seg_c3/uniform_miss70/seed44/config.yaml | Configuration | 4.5 KB | — |
| models/gated_transformer_v9_seg_c3/continuous_miss20tr/seed42/config.yaml | Configuration | 2.0 KB | — |
| models/gated_transformer_v9_seg_c3/continuous_miss20tr/seed43/config.yaml | Configuration | 1.9 KB | — |
| models/gated_transformer_v9_seg_c3/continuous_miss20tr/seed44/config.yaml | Configuration | 1.9 KB | — |
| models/gated_transformer_v9_seg_c3/continuous_miss30tr/seed42/config.yaml | Configuration | 1.9 KB | — |
| models/gated_transformer_v9_seg_c3/continuous_miss30tr/seed43/config.yaml | Configuration | 1.9 KB | — |
| models/gated_transformer_v9_seg_c3/continuous_miss30tr/seed44/config.yaml | Configuration | 1.9 KB | — |
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| models/li2022_caunet_seg_c3/continuous_miss20tr/seed42/config.yaml | Configuration | 7.0 KB | — |
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| models/liu2022_wrdl_seg_c3/continuous_miss20tr/seed42/config.yaml | Configuration | 3.2 KB | — |
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| models/yu2022_anet_seg_c3/uniform_miss50/seed42/config.yaml | Configuration | 7.2 KB | — |
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| models/yu2022_anet_seg_c3/uniform_miss70/seed42/config.yaml | Configuration | 7.2 KB | — |
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| README.md | Documentation | 5.0 KB | — |
| results_seg_c3.md | Documentation | 5.9 KB | — |
| models/L_atten_unet_seg_c3/uniform_miss75/seed42/logs/loss_curve.png | Other | 29.6 KB | — |
| models/L_atten_unet_seg_c3/uniform_miss75/seed42/logs/loss_curve_log.png | Other | 32.6 KB | — |
| models/L_atten_unet_seg_c3/uniform_miss75/seed42/logs/loss_history.csv | Other | 7.0 KB | — |
| models/L_atten_unet_seg_c3/uniform_miss75/seed42/logs/metrics_history.csv | Other | 16.0 KB | — |
| models/L_atten_unet_seg_c3/uniform_miss75/seed42/logs/train_log.txt | Other | 24.9 KB | — |
| .gitattributes | Repository | 1.5 KB | — |
License and Download
- License
- Not stated by the source
- Access
- Open weights, no gate
- Download size
- 67.8 GB
Download from GeoBrain
Released by GeoBrain through its official repository on Hugging Face.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 67.8 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.