Name: Arunkumar Venkataramanan
Type: User
Company: @Deep-Brainz, Tech Founder and Product Leader
Bio: Tech Product Manager and Architect | Serial Entrepreneur, AI Innovator, Founder, CEO, Chief Technologist, Product Leader at @Deep-Brainz AI and Stealth Startup
Twitter: arunkumar_bvr
Location: Bangalore, India
Blog: https://arunkumarramanan.github.io
Arunkumar Venkataramanan's Projects
Toxic Comment Classification Challenge
Toxic Comment Classification Challenge, 12th place solution https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge
Code and write-up for the Kaggle Toxic Comment Classification Challenge
Reference models and tools for Cloud TPUs.
A fork of the official TPU models repo with fixes and a solution for the Kaggle Open Images 2019 Object Detection Challenge
The Cloud Native Edge Router
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Open source on demand courses and cheat sheets for Git and GitHub
🦄 State-of-the-Art Conversational AI with Transfer Learning
The full code of the 8th ranked team [Zidmie | Kha | Marc | Simon] in the "Traveling Santa 2018 - Prime Paths" competition on Kaggle (https://www.kaggle.com/c/traveling-santa-2018-prime-paths/leaderboard)
TensorFlow Reinforcement Learning
The "REST With Spring" Course:
Tutorials for using ONNX
Open deep learning compiler stack for cpu, gpu and specialized accelerators
tutorial for sentiment analysis on Twitter data using Python
Automatically exported from code.google.com/p/ubicanegocios
Udacity Deep Learning MOOC assignments
Building Universal AI which is Tomorrow's State-of-the-art AI that builds/develops AI, through BRAIN (Brainz Research of AI Neurons), AI Research Team and AI BRAIN Dev, AI Development Team at @Deep-Brainz, "Empowering Humanity!"
Universe: a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applications.
Phrase-Based & Neural Unsupervised Machine Translation
A list of useful Java frameworks, libraries, software and hello worlds examples
Text Generation Using A Variational Autoencoder
Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.
The official Vim repository
Virtual Python Environment builder
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
Datasets, Transforms and Models specific to Computer Vision