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2. Forked from maxhodak/keras-molecules

   Autoencoder network for learning a continuous representation of molecular structures. Work-in-progress to optimise this for metabolomics data.

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3. Forked from glasgowcompbio/pyBatman

   A pipeline to infer metabolite concentrations from 1D NMR data using BATMAN (Bayesian AuTomated Metabolite Analyser for NMR)

   Jupyter Notebook

4. Ionization product clustering of LC-MS peaks and using the clusters to achieve better peak alignment

   Python

5. Forked from joewandy/hlda

   Gibbs sampler for the Hierarchical Latent Dirichlet Allocation topic model

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6. Forked from joewandy/multifile_lda

   Extension to Latent Dirichlet Allocation (LDA), where topics are now shared across multiple files (collections).

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