Machine Learning
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MLflow Example Model (Wine Preference) | This is an example capsule to show the functionality of the MLFLow Orchestrator Capsule. It generates a model, logs parameters and results into the mlflow database and then syncs the results to S3. |
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MLflow Orchestrator Capsule | This is a central MLflow "Orchestrator" capsule that can be used to interactively view the results from multiple machine learning capsules using the same MLflow database |
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MLFlow Example Model (Diabetes Experiment) | This is an example capsule to show the functionality of the MLFLow Orchestrator Capsule. It generates a model, logs parameters and results into the mlflow database and then syncs the results to S3. |
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DECIMER 2.0 | This capsule uses DECIMER (Deep Earning for Chemical ImagE Recognition) 2.0 to predict the SMILES (simplified molecular input line entry system) for input chemical images. |
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Img2Mol | This capsule uses Img2Mol to predict the compound structure for input chemical images. It will output a structure data file and SMILES representation for each input image. |
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Streamlit ColabFold: AlphaFold2 using MMseqs2 | ColabFold offers an accelerated prediction of protein structures and complexes by combining the fast homology search of MMseqs2 with AlphaFold2. This capsule can be accessed through a Streamlit Cloud Workstation, run in a Pipeline or accessed using the App Panel. |
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CombFold - prepare | This capsule generates fasta files of protein subunits for downstream processing by AlphaFold. The subunits are then assembled using Combfold |
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CombFold- Combinatorial Assembly | The CombFold Combinatorial Assembly algorithm assembles subunits from AlphaFold into a single large complex. |
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