sraashis

deepdyn

pytorch implementation of paper https://www.frontiersin.org/articles/10.3389/fcomp.2020.00035/full

easytorch

EasyTorch is a research-oriented pytorch prototyping framework with a straightforward learning curve. It is highly robust and contains almost everything needed to perform any state-of-the-art experiments.

retinal-fundus-transfer

An example of easytorch implementation on retinal vessel segmentation.

diseaseprediction

Undergrad final year project to predict diseases given any text symptoms.

covidxfactory

Covid 19 analysis from 6k images from cloud factory.

graph-de-anonymization

Seed based and seed-free graph de-anonymization.

gan-easytorch-celeb-faces

Advanced Deep Medical Image Reconstruction

catalyst

Accelerated deep learning R&D

coinstac

Collaborative Informatics and Neuroimaging Suite Toolkit for Anonymous Computation

coinstac-ssr-fsl

Coinstac Code for Single-Shot Regression (ssr) on FreeSurfer Data

coinstac_ddfnc_pipeline

test repo to demonstrate ddfnc and group ica pipelines

coinstac_dkmeans_ms

coinstac_gica_pipeline

Pared down ddFNC pipeline with only Group ICA

cvproject

Anamorphic lens simulation.

Deep-Learning-for-Tracking-and-Detection

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

face_recognition

The world's simplest facial recognition api for Python and the command line

imgcommons

Very useful image related utilities

MILC

MILC on ICA components

notebook

Jupyter Interactive Notebook

opencv

Open Source Computer Vision Library

pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

pytorch-meta

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

scholarly

Retrieve author and publication information from Google Scholar in a friendly, Pythonic way

scholary

Scrap google scholar

sraashis.github.io

trends-reading-group

Contains information and resources relevant to TReNDS Reading Group (TRG)

Tutorials

Tutorials for creating figures, tables, or other content for AAS Journals.

universities_updates_covid19

Get updates by university on COVID-19

vnetmap

Virtual node to substrate node matching and reconfiguration