Google Research

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

Feature selector is a tool for dimensionality reduction of machine learning datasets

R kernel for Jupyter

NYU Deep Learning Spring 2021

A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum compu…

A pedagogical implementation of Autograd

Practical Cheminformatics Tutorials

Bayesian neural network using Pyro and PyTorch on MNIST dataset

Explainer for black box models that predict molecule properties

Code and notebooks for my Medium blog posts

Tutorials and data necessary to reproduce the results of publication Machine Learning Coarse-Grained Potentials of Protein Thermodynamics

RL experiments

A statistical toolkit for scientific discovery using machine learning

Code for "Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference" (NeurIPS Bayesian Deep Learning Workshop)

Reaction Data and Molecular Conformers (RDMC) is a package dealing with reactions, molecules, conformers, majorly in 3D.

NERSC RAPIDS Workshop 2020

Some basic implementations of Variational Autoencoders in pytorch

Notebooks for a talk at SEG