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Hi there, I'm Seyone šŸ‘‹

I'm a 17 year old senior in high school working on computational drug discovery and machine learning as a Research Intern in the Aspuru-Guzik Group at the University of Toronto and Vector Institute. One of the projects I help develop there is SELFIES, a 100% robust molecular string representation for machine learning models. Previously, I worked as an ML intern on the Applied AI team at Integrate.ai, an enterprise software company building a consumer insights platform for Fortune 500 companies.

  • šŸ”­ Iā€™m currently working on democratizing deep learning for the life sciences with DeepChem. I work on developing sequence and graph based models for understanding structural biology and chemistry
  • šŸ”¬ My research is supported by the Emergent Ventures Fellowship, given by Tyler Cowen at the Mercatus Centre and funded by the Thiel Foundation.
  • šŸŒ± Iā€™m currently learning NLP, Deep Graph Library, and neuroscience šŸ§ 
  • āš™ļø I use python, tensorflow, pytorch, sklearn, pandas, transformers, and dgl
  • šŸ‘Æ Iā€™m looking to collaborate on machine learning for chemistry, biology, and materials science
  • šŸ’¬ Ask me about geometric learning, natural language processing and computational chemistry.
  • šŸ“« How to reach me: Twitter | LinkedIn | Email

Seyone's github stats

Seyone Chithrananda's Projects

al-folio icon al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

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.

bertviz icon bertviz

Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)

chemprop icon chemprop

Message Passing Neural Networks for Molecule Property Prediction

deep-bind-tensorflow icon deep-bind-tensorflow

TF-binding CNN model, trained on ChIP-SEQ sequence data to predict dna-protein binding interactions.

deep-learning-v2-pytorch icon deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deepchem icon deepchem

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

dorian-grey-gpt2 icon dorian-grey-gpt2

Training a implementation of GPT-2 on text from the character Lord Henry in The Picture of Dorian Grey.

evolocity icon evolocity

Evolutionary velocity with protein language models

ga icon ga

Code for the paper: Augmenting genetic algorithms with deep neural networks for exploring the chemical space

gentrl icon gentrl

Generative Tensorial Reinforcement Learning (GENTRL) model

hot-subreddit-scraper icon hot-subreddit-scraper

Scrapes for the hottest posts on a given subreddit and creates a new Pandas Dataframe to save posts as a csv.

ics-4uo icon ics-4uo

All the project completed in my university-level AP Computer Science Course

molecule-chef icon molecule-chef

Code for our paper "A Model to Search for Synthesizable Molecules" (https://arxiv.org/abs/1906.05221)

molgan-pytorch icon molgan-pytorch

Pytroch implementation of MolGAN: An implicit generative model for small molecular graphs (https://arxiv.org/abs/1805.11973)

ncov-ligand-protein icon ncov-ligand-protein

ncov-ligand-protein: A collection of models trained for predicting activity across molecular assays for the 3clpro protease in SARS-CoV-2.

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