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Danny Diaz's Projects

ani1_dataset icon ani1_dataset

A data set of 20 million calculated off-equilibrium conformations for organic molecules

ase_ani icon ase_ani

ANI-1 neural net potential with python interface (ASE)

bert-flow icon bert-flow

TensorFlow implementation of On the Sentence Embeddings from Pre-trained Language Models (EMNLP 2020)

bert-loves-chemistry icon bert-loves-chemistry

bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.

cascade icon cascade

CAlculation of NMR using Deep LEarning

cdhit icon cdhit

Automatically exported from code.google.com/p/cdhit

chargefw2 icon chargefw2

The core part of Atomic Charge Calculator II.

chemospec icon chemospec

R functions for the chemometric analysis of spectra

conplex icon conplex

Adapting protein language models and contrastive learning for highly-accurate drug-target interaction prediction.

cpi_prediction icon cpi_prediction

This is a code for compound-protein interaction (CPI) prediction based on a graph neural network (GNN) for compounds and a convolutional neural network (CNN) for proteins.

danny305.github.io icon danny305.github.io

This is my first ever contribution to the internet via a web page and is a work in progress.

dec-da icon dec-da

Deep Embedded Clustering with Data Augmentation (DEC-DA). Performance on MNIST (acc=0.985, nmi=0.960).

deepdrug3d icon deepdrug3d

A convolutional neural network for classifying binding pockets based on spatial and chemical information extracted from the pockets.

deepsurf icon deepsurf

A surface-based deep learning approach for the prediction of ligand binding sites on proteins

delphipka icon delphipka

Protonation and pKa calculation. For more information, please visit: http://compbio.clemson.edu/pka_webserver/

dig icon dig

A library for graph deep learning research

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