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SMILES-based CharLSTM with finetuning and goal-directed generation via policy gradient

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Name		Name	Last commit message	Last commit date
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input		input
output		output
.gitignore		.gitignore
README.md		README.md
Untitled.ipynb		Untitled.ipynb
install_env.sh		install_env.sh
main.py		main.py
model.py		model.py
sample.py		sample.py
train.py		train.py
utils.py		utils.py

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Smiles LSTM

With fine-tuning

Train on ChEMBL 28
Fine-tune on user-provided set of molecules

Draws from this GitHub repo and the associated Medium post

WORK IN PROGRESS

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SMILES-based CharLSTM with finetuning and goal-directed generation via policy gradient

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