Vishal Vinod (Vishal-V)

Vishal-V

Geek Repo

Company:Glass Imaging Inc.

Location:Mountain View, CA

Home Page:http://vishal-v.github.io/

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Organizations
AppStackTop
bioconda
EpicGames
fossasia
GenomicsAI
NVIDIAGameWorks

Vishal Vinod's repositories

100-Days-of-ML-Code

A 100 Day ML Challenge to learn and implement ML/DL concepts ranging from the basics of Machine Learning to advanced Deep Learning.

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StackGAN

TensorFlow implementation of "Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks" by Han Zhang, et al.

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GSoC-TensorFlow-2019

Google Summer of Code 2019 with TensorFlow: Final Work Product

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GSoC-TensorFlow-2020

Google Summer of Code 2020 with TensorFlow: Final Work Product

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FSDA-LowLight

Code for "Few Shot Domain Adaptation for Low Light RAW Image Enhancement" BMVC 2021 Best Student Paper Award Runner Up

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Mastering-TensorFlow-2.x

Tensorflow models from scratch to help me master the underlying concepts

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SSD

TensorFlow 2.x implementation of Single Shot Detector

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vishal-v.github.io

My portfolio site

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addons

Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

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detr

End-to-End Object Detection with Transformers

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Doodle-to-Photo

Towards WACV 2020 or AAAI 2021 or VIQA Workshop ICPR

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estimators

Estimators to perform off-policy evaluation

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examples-1

TensorFlow examples

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Google-Cloud-CMLE

Machine Learning on the Google Cloud Datalab instance

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models

Models and examples built with TensorFlow

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ptlflow

PyTorch Lightning Optical Flow models, scripts, and pretrained weights.

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PySyft

A library for encrypted, privacy preserving machine learning

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pytorch-superpoint

Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629

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tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

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tensorflow

An Open Source Machine Learning Framework for Everyone

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vowpal_wabbit

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

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