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Hi there πŸ‘‹

I am a passionate programmer, adept at intertwining web technologies, cybersecurity, networking, and deep learning concepts. I harbor a keen interest in technologies such as Python, Tensorflow, PHP (with a particular emphasis on Laravel), Penetration Testing, and more. Coding invigorates me, it's an exciting journey of discovery and innovation! 🀩

Life continually astounds me, providing opportunities to delve into domains like deep learning and pharmaceutical studies, areas that were once completely foreign to me. My recent endeavors are concentrated on implementing deep learning in drug discovery πŸ’Š using Tensorflow 2.x, and analyzing the properties of newly synthesized compounds with RDKit. I am exhilarated by the endless potential this field holds and look forward to contributing to its advancements.

Liang's Projects

cddd icon cddd

Implementation of the Paper "Learning Continuous and Data-Driven Molecular Descriptors by Translating Equivalent Chemical Representations" by Robin Winter, Floriane Montanari, Frank Noe and Djork-Arne Clevert.

chemfold icon chemfold

ChemFold provides several methods for computing train-validation-test splits, both in federated and non-federated (ordinary) ML settings.

drug_discovery icon drug_discovery

This project uses a Variational Autoencoder (VAE) to generate SMILES strings for novel compound generation. The VAE model is trained on a dataset of existing chemical compounds and can generate new, valid SMILES strings, which may represent potentially new and useful chemical entities.

hfdrugtutorial icon hfdrugtutorial

This repository shows how to use the Hugging Face Library for molecule generation.

minicddd icon minicddd

Unofficial mini implementation of 'Learning Continuous and Data-Driven Molecular Descriptors' paper. A concise codebase replicating the core architecture as a lightweight reference.

moltrans icon moltrans

MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)

ord_downloader icon ord_downloader

Implementing an Open Reaction Database downloader using Streamlit🎈.

smilespe icon smilespe

SMILES Pair Encoding: A data-driven substructure representation of chemicals

streamlit-mol-grid-viewer icon streamlit-mol-grid-viewer

Using Streamlit's built-in function to easily create a molecule grid viewer, and then you can assemble any content you want.

tw-law-corpus icon tw-law-corpus

Taiwan law corpus, generated by https://github.com/ronnywang/twlaw

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