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FusOn-pLM

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FusOn-pLM

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  1. Update README.md

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  1. dependencies and embedding_exploration benchmark

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  2. mutation prediction discovery and recovery

    Sophia Vincoff
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  3. fixed READMEs and added IDR Prediction benchmark

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  1. caid benchmark

    Sophia Vincoff
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  1. puncta benchmark

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  2. modifying model card photo again

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  3. data cleaning, blast, and splitting code with source data, also deleting unnecessary files

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  4. adding code for creating Fig 1B and Fig 2B

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  5. changing architecture photo

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  6. adding updated FusOn-pLM model

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  1. adding ubuntu font needed to reproduce the figures as shown in paper

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  2. adding utility files used throughout FusOn-pLM training and benchmarking

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  3. uploading data folder

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  4. uploaded training code and model weights

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  1. Update README.md

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  2. Update README.md

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  3. Upload files for AutoModel

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  4. Delete vocab.txt

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  5. Delete tokenizer_config.json

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  6. Delete special_tokens_map.json

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  7. Delete pytorch_model.bin

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  8. Delete config.json

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  9. Rename model/vocab.txt to vocab.txt

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  10. Rename model/tokenizer_config.json to tokenizer_config.json

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  11. Rename model/special_tokens_map.json to special_tokens_map.json

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  12. Rename model/pytorch_model.bin to pytorch_model.bin

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  13. Rename model/config.json to config.json

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  14. uploaded files required for AutoModel

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  15. Update README.md

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  16. Update README.md

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  17. Update README.md

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  18. Update README.md

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  19. Update README.md

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  20. Update README.md

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  21. Update README.md

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  22. Update README.md

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  23. Update README.md

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  24. Update README.md

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  25. Update README.md

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  26. Update README.md

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  27. Update README.md

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  28. Update README.md

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  29. Update README.md

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  30. Update README.md

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  31. Create README.md

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  1. “uploading snp_2000_finetune_11layers_esm_b8_lr5e-5_mask0.15-05-17-2024-16:01:29/checkpoint_epoch_14

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  2. initial commit

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