Instructions to use OneScience-Group/Antibody_deep_learning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use OneScience-Group/Antibody_deep_learning with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("OneScience-Group/Antibody_deep_learning") - Notebooks
- Google Colab
- Kaggle
File size: 2,157 Bytes
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"model_name": "Antibody Deep Learning",
"framework": "TensorFlow",
"task": "antibody-binder-prediction-and-cdr3-generation",
"description": "Predict CTLA-4 and PD-1 antibody binders with CNN models and generate synthetic CDR3K/CDR3H antibody sequences with GAN models.",
"entry_points": {
"prepare_data": "scripts/01_prepare_data_compat.R",
"cnn_inference": "scripts/02_cnn_inference.R",
"gan_inference": "scripts/03_gan_inference.R",
"export_cnn_npz": "scripts/04_export_cnn_npz.R",
"train_cnn": "scripts/05_train_cnn.py",
"export_gan_npz": "scripts/06_export_gan_npz.R",
"train_gan": "scripts/07_train_gan.py",
"generate_from_trained_gan": "scripts/08_generate_from_trained_gan.py"
},
"source_package": "model",
"config": "conf/config.json",
"data": {
"blosum62": "model/BLOSUM62_with_deletion.Rdata",
"cnn_raw": "model/CNN/all_ab_pre_post.txt",
"cnn_preprocessed": [
"model/CNN/c1.RDS",
"model/CNN/c1_train.RDS",
"model/CNN/c1_train_y.RDS",
"model/CNN/c1_test.RDS",
"model/CNN/c1_test_y.RDS",
"model/CNN/p1.RDS",
"model/CNN/p1_train.RDS",
"model/CNN/p1_train_y.RDS",
"model/CNN/p1_test.RDS",
"model/CNN/p1_test_y.RDS"
],
"gan_preprocessed": [
"model/GAN/seq_all.RDS",
"model/GAN/seq_all_encoded.RDS"
]
},
"weight_dir": {
"cnn": [
"weight/CNN/model_c1",
"weight/CNN/model_p1"
],
"gan": [
"weight/GAN/GAN_model_1",
"weight/GAN/GAN_model_2",
"weight/GAN/GAN_model_3",
"weight/GAN/GAN_model_4",
"weight/GAN/GAN_model_5",
"weight/GAN/GAN_model_6",
"weight/GAN/GAN_model_7",
"weight/GAN/GAN_model_8",
"weight/GAN/GAN_model_9",
"weight/GAN/GAN_model_10",
"weight/GAN/GAN_model_11",
"weight/GAN/GAN_model_12",
"weight/GAN/GAN_model_13",
"weight/GAN/GAN_model_14",
"weight/GAN/GAN_model_15"
]
},
"runtime": {
"python": "3.11",
"tensorflow": "2.13.1 or compatible TensorFlow/DCU build",
"r": "3.6.3",
"dcu_module": "compiler/dtk/26.04"
},
"license": "CC-BY-NC-SA-4.0"
}
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