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mat2vec

Supplementary Materials for Tshitoyan et al. "Unsupervised word embeddings capture latent knowledge from materials science literature", Nature (2019).

motor-imagery-classification-using-graph-neural-network

movie-recommender-system-using-graph-neural-networks

natural-language-processing

Resources for "Natural Language Processing" Coursera course.

newgittest

First ever repository test

newgittest2

First ever repository test

nlp-recipes

Natural Language Processing Best Practices & Examples

opencv

Open Source Computer Vision Library

pandas_exercises

Practice your pandas skills!

panini

perovskitedatabase

personal

Contains Jupyter Notebooks of stuff I am working on.

phys-graph-neural-networks

GNNs applied to approximate Physics Models for Heat propagation and shallow water emulation.

posts

Complementary code for blog posts

powerful-gnns

How Powerful are Graph Neural Networks?

predicting-drug-interactions-using-graph-neural-networks-dgl-

prime_numbers

Code to generate Prime Number Cross plots.

pystemmer

Python stemming library using snowball stemmers

python-one-liners

This repository contains python one-liners obtained from various sources.

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pytorch-tutorial

query_master

qugel

This work presents Qugel , a QML platform which utilizes shallow quantum neural network (QNN) image encoders composed of parametrized quantum circuits (PQCs) for solving categorial image classification challenges.

resources

A Highly Opinionated List of Open Source Materials Informatics Resources

rev

Reverse-Engineering Visualizations (REV).

scattertext

Beautiful visualizations of how language differs among document types.

scitldr

sgg

Train Scene Graph Generation for Visual Genome and GQA in PyTorch >= 1.2 with improved zero and few-shot generalization.

simplegmail

A simple Gmail API client for applications in Python

simpletransformers

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