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    • Esben Jannik Bjerrum
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    • About Cheminformania
    • Esben Jannik Bjerrum

Non-conditional De Novo molecular Generation with Transformer Encoders

Esbenbjerrum/ May 13, 2021

We’ve known since 2016 that LSTM networks can be used to generate novel and valid SMILES strings of novel molecules after being trained on a dataset of

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Building a simple QSAR model using a feed forward neural network in PyTorch

Esbenbjerrum/ May 1, 2020

In my previous blogposts I’ve entirely been using Keras for my neural networks. Keras as a stand-alone is now no longer active developed, but are instead now

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Never do these mistakes when comparing regression models

Esbenbjerrum/ August 25, 2019

Some time ago I stumbled upon some work by Patrick Walters which shows that correlation coefficients have a rather large standard error when the sample sets sizes

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Learn how to improve SMILES based molecular autoencoders with heteroencoders

Esben Jannik Bjerrum/ October 4, 2018

Earlier I wrote a blog post about how to build SMILES based autoencoders in Keras. It has since been a much visited page, so the topic seems

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Master your molecule generator: Seq2seq RNN models with SMILES in Keras

Esben Jannik Bjerrum/ December 14, 2017

UPDATE: Be sure to check out the follow-up to this post if you want to improve the model: Learn how to improve SMILES based molecular autoencoders with

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SMILES enumeration and vectorization for Keras

Esben Jannik Bjerrum/ December 1, 2017

The SMILES enumeration code at GitHub has been revamped and revised into an object for easier use. It can work in conjunction with a SMILES iterator object

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Learn how to teach your computer to "See" Chemistry: Free Chemception models with RDKit and Keras

Esben Jannik Bjerrum/ November 28, 2017

The film Inception with Leonardo Di Caprio is about dreams in dreams, and gave rise to the meme “We need to go deeper”. The title has also

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Better Deep Learning Neural Networks with SMILES Enumeration of Molecular Data

Esben Jannik Bjerrum/ March 23, 2017

The process of expanding an otherwise limited dataset in order to more efficiently train a neural network is known as Data Augmentation For images there have been

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Tune your deep tox neural network with free tools

Esben Jannik Bjerrum/ February 7, 2017

In another blog post I demonstrated how to build a deep neural network with Keras in Python to model some toxicity dataset from the Tox21 challenge. The

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A deep Tox21 neural network with RDKit and Keras

Esben Jannik Bjerrum/ January 15, 2017

I found some interesting toxicology datasets from the Tox21 challenge, and wanted to see if it was possible to build a toxicology predictor using a deep neural

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