seyonechithrananda

plasticity-rl

Deep RL faces the problem of plasticity loss, which is the loss of ability of neural networks to adapt to new data/conditions. We discover that regularizing singular values is a promising direction towards mitigating neural network plasticity.

selfies

Robust representation of semantically constrained graphs, in particular for molecules in chemistry

deepchem

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

olfaction

Code for paper "Mapping the combinatorial coding between olfactory receptors and perception with deep learning"

conformal-protein-retrieval

bert-loves-chemistry

bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.

deep-bind-tensorflow

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

generative-neural-fingerprint

Compilation of models created to learn + generate molecular structures.

Molecular_Generating_RNN-LSTM

Created a RNN with LSTM cells to learn patterns from SMILES Strings, and use them to generate new molecular structures.

seyonechithrananda/bert-loves-chemistry

bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.

seyonechithrananda/generative-neural-fingerprint

Compilation of models created to learn + generate molecular structures.

seyonechithrananda/stock-algo-website

Website designed in HTML and PHP for EquiTrade algorithmic stock trading project.

seyonechithrananda/covid-hackathon

An Open Source Effort to Design Covid19 Therapeutics

seyonechithrananda/DeepBind_with_Tensorflow

Implementation of Deepbind using TensorFlow

seyonechithrananda/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.

seyonechithrananda/rl_graph_generation

seyonechithrananda/simpletransformers

Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

seyonechithrananda/taurus_ascii_animation

Taurus 'Donut' Animation

seyonechithrananda/academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

seyonechithrananda/assessing_mol_prediction_confidence

seyonechithrananda/chemprop

Message Passing Neural Networks for Molecule Property Prediction

seyonechithrananda/physics-bridge-tester

seyonechithrananda/Scalr

Scalr: Applying super resolution U-Nets + generative adversarial networks to increase image resolution.

seyonechithrananda/selfies-mirror

seyonechithrananda/al-folio

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

seyonechithrananda/bertviz

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

seyonechithrananda/ccc_practice

ccc practice

seyonechithrananda/conformal-designability

de novo uncertainty quantification for unsupervised evolution and design

seyonechithrananda/conformal-protein-retrieval

seyonechithrananda/deepchem

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

seyonechithrananda/evolocity

Evolutionary velocity with protein language models

seyonechithrananda/GA

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

seyonechithrananda/ncfrey

Profile README

seyonechithrananda/neurips19-graph-protein-design

Generative Models for Graph-Based Protein Design

seyonechithrananda/RoseTTAFold2NA

RoseTTAFold2 protein/nucleic acid complex prediction

seyonechithrananda/selfies

Robust representation of semantically constrained graphs, in particular for molecules in chemistry

seyonechithrananda/seyonechithrananda

About me!

seyonechithrananda/seyonechithrananda.github.io

website

seyonechithrananda/transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.