Varun Nair (varunnair18)

varunnair18

Geek Repo

Company:@harveyai, @Curai, @DukeAML, @uizard-technologies

Home Page:linkedin.com/in/varunnair18

Twitter:@nairvarun18

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Varun Nair's starred repositories

fast-style-transfer

TensorFlow CNN for fast style transfer ⚡🖥🎨🖼

yolov3

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

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pulse

PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

neural-style-tf

TensorFlow (Python API) implementation of Neural Style

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uda

Unsupervised Data Augmentation (UDA)

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deep-learning-project-template

Pytorch Lightning code guideline for conferences

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fixmatch

A simple method to perform semi-supervised learning with limited data.

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particle

A simple portfolio Jekyll theme:

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augmix

AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

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pytorch-randaugment

Unofficial PyTorch Reimplementation of RandAugment.

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manifold_mixup

Code for reproducing Manifold Mixup results (ICML 2019)

One-Shot-Object-Detection

Implementation of One-Shot Object Detection with Co-Attention and Co-Excitation in Pytorch

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sleek

:chart_with_upwards_trend: Sleek is a modern Jekyll theme focused on speed performance & SEO best practices

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ssl_detection

Semi-supervised learning for object detection

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amdim-public

Public repo for Augmented Multiscale Deep InfoMax representation learning

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htmpapers

Numenta published papers code and data

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MetaR-CNN

Meta R-CNN : Towards General Solver for Instance-level Low-shot Learning

cutout-random-erasing

Cutout / Random Erasing implementation, especially for ImageDataGenerator in Keras

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realmix

Code for the paper: RealMix: Towards Realistic Semi-Supervised Deep Learning Algorithms

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sesemi

supervised and semi-supervised image classification with self-supervision (Keras)

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pytorch-randaugment

Unofficial PyTorch Reimplementation of RandAugment.

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PhoenixNowAndroid

Android Application that allows students at the Early College at Guilford to check-in.

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