I am a Passionate Data Scientist and Machine Learning enthusiast 🤖 with expertise in Python, R, and advanced ML frameworks like tensorflow and pytorch. I'm experienced in developing large language models, graph neural networks, and bioinformatics tools to drive innovations in data analysis and biological research.
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CRISPRGenie
CRISPRGenie PublicA GPT model to generate sgRNA sequences based on provided gene IDs. By incorporating a custom tokenizer and beam search, the model produces high-probability sgRNA sequences, facilitating efficient …
Jupyter Notebook 2
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MolGraphNet
MolGraphNet PublicA machine learning project using directed message passing neural networks (D-MPNN) to predict molecular properties from SMILES strings, inspired by the Chemprop model.
Jupyter Notebook 1
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Bioactivity_Prediction_App
Bioactivity_Prediction_App PublicA web application for predicting the bioactivity of small molecules using machine learning models
Jupyter Notebook
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