tape-neurips2019
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology. (DEPRECATED)
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Download Latest Version (.zip)- simple_model.py
- simple_model_with_hparams.py
- evaluate_contact_prediction_metrics.py
- evaluate_fluorescence_metrics.py
- evaluate_stability_metrics.py
- __init__.py
- bepler_contact_map_protein_serializer.py
- bepler_contact_map_utils.py
- binary_scop_protein_serializer.py
- convert_deepsf_to_remote_homology.py
- fluorescence_protein_serializer.py
- paired_protein_serializer.py
- pfam_protein_serializer.py
- proteinnet_serializer.py
- remote_homology_deepsf_features.py
- remote_homology_serializer.py
- secondary_structure_protein_serializer.py
- serialize_fasta.py
- stability_serializer.py
- tf_data_utils.py
- vocabs.py
- __init__.py
- AbstractTapeModel.py
- BeplerModel.py
- BidirectionalLSTM.py
- ModelBuilder.py
- OneHotEvolutionaryModel.py
- OneHotModel.py
- Resnet.py
- Transformer.py
- UniRepModel.py
- __init__.py
- AminoAcidClassPredictor.py
- BeplerContactPredictor.py
- BidirectionalOutputShift.py
- ComputeClassVector.py
- DeepSFModel.py
- FreezeWeights.py
- GlobalVectorPredictor.py
- layers.py
- NetsurfModel.py
- OrdinalRegression.py
- RandomSequenceMask.py
- ResidueResidueContactPredictor.py
- SoftSymmetricAlignment.py
- __init__.py
- AbstractLanguageModelingTask.py
- BeplerContactMapTask.py
- BeplerLanguageModelingTask.py
- BeplerPairedScopeTask.py
- ContactMapTask.py
- FluorescenceTask.py
- LanguageModelingTask.py
- MaskedLanguageModelingTask.py
- NetsurfTask.py
- RemoteHomologyTask.py
- SecondaryStructureTask.py
- StabilityTask.py
- Task.py
- TaskBuilder.py
- UnidirectionalLanguageModelingTask.py
- __init__.py
- __main__.py
- analysis.py
- experiments.py
- losses.py
- run_embed.py
- run_eval.py
- run_supervised_experiments.py
- .gitignore
- data_refs.bib
- download_data.sh
- download_pretrained_models.sh
- LICENSE
- README.md
- requirements.txt
- setup.py
# Installation Guide
1. Get the code
git clone https://github.com/songlab-cal/tape-neurips2019
Downloads the entire project code from GitHub to your computer.
cd tape-neurips2019
Moves into the project folder you just downloaded.
2. Python
Easy RecommendedPrerequisites
$ pip install -e .
Installs the Python libraries listed in requirements.txt (or similar).
If it runs without errors and prints output in the terminal, it worked.
Pulled directly from this repo's README.
// repository documentation
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