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BPNet_CUTandRUN_POU1F1
ge8rgia/BPNet_CUTandRUN_POU1F1
BPNet_CUTandRUN_POU1F1 is a machine learning model from ge8rgia. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for bpnet-lite. The card lists the license as mit.
A BPNet model trained with bpnet-lite on PIT1 (POU1F1) CUT&RUN data, used to model base-resolution binding signal and to discover sequence motifs via TF-MoDISco.
Access
Public
Updated Jun 18, 2026
Repo size
452 KB
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Repo makeup
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.torch452 KB · 98%
At a glance
- Library
- bpnet-lite
- License
- mit
- Access
- Public
- Created
- Jun 18, 2026
- Updated
- Jun 18, 2026
- SHA
- 10037f60
Model card
From the Hugging Face model README
BPNet_ChIP-seq_PIT1
A BPNet model trained with
bpnet-lite on PIT1 (POU1F1) CUT&RUN data,
used to model base-resolution binding signal and to discover sequence motifs via
TF-MoDISco.
Performance
Reported metrics found in exp20_PIT1.performance.tsv.
See exp20_PIT1.evaluate.json for the full evaluation output.
Files
| File | Description |
|---|---|
exp20_PIT1.torch | Model weights (best validation checkpoint) |
exp20_PIT1.bpnet.fit.json | Full training configuration (architecture, data paths, chrom split, hyperparameters) |
exp20_PIT1.bpnet.attribute.json | Configuration used for computing attributions downstream |
exp20_PIT1.performance.tsv | Reported performance metrics |
exp20_PIT1.evaluate.json | Full evaluation output |
exp20_PIT1.log | Training log |
- Library
- bpnet-lite
- License
- mit
- Created
- Jun 18, 2026
- Updated
- Jun 18, 2026