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Hi there šŸ‘‹ I am Vishnu. šŸ‘Øā€šŸ’»

I am founder of Jarvislabs.ai- a GPU cloud platform.

I am also an AI Researcher, author, speaker and Kaggle Competitions Expert.

  • šŸ”­ Iā€™m currently building JarvisLabs - a simple and affordable GPU cloud platform.
  • šŸŒ± I'm passionate about learning to put DL models into production.
  • šŸ“¹ I like to speak about deep learning on my youtube channel.
  • šŸ’¬ Ask me anything about deep learning, startups
  • šŸ“« Follow me on Twitter
  • āš” Fun fact: I love building products. I like to play games with my son in my free time. šŸŽ®

I'm always open to interesting conversations and collaboration.

Blogs:

Videos:

  1. Understanding fastai Series
  2. Learn Deep Learning by competeing in Kaggle

Vishnu Subramanian's Projects

big_transfer icon big_transfer

Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.

blogs icon blogs

contains markdown for blogs

cassava icon cassava

Contains code for Cassava ongoing Kaggle Competition.

catsanddogs icon catsanddogs

Identify cats vs dogs - A simple CV pipeline built using PyTorch, PyTorch Lightning and Hydra

cdk icon cdk

Cloudera Development Kit

comfyui icon comfyui

The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.

diffusers icon diffusers

šŸ¤— Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

dlwithpytorch icon dlwithpytorch

Code to accompany my upcoming book "Deep learning with PyTorch Book " from Packt

docusaurus icon docusaurus

Easy to maintain open source documentation websites.

drqa icon drqa

Reading Wikipedia to Answer Open-Domain Questions

fastai icon fastai

The fastai deep learning library

fastai_docs icon fastai_docs

dev notebooks (for docs see http://docs.fast.ai and https://github.com/fastai/fastai)

fastcore icon fastcore

Python supercharged for the fastai library

fpinscala icon fpinscala

Code, exercises, answers, and hints to go along with the book "Functional Programming in Scala"

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