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
Diffusion on manifolds for image retrieval
Predict the 2017 NCAA Basketball Tournament
A PyTorch implementation of the architecture of Mask RCNN, serves as an introduction to working with PyTorch
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Fast, modular reference implementation of Semantic Segmentation and Object Detection algorithms in PyTorch.
Mastering Apache Spark 2
Source code for 'Mastering Machine Learning with Python in Six Steps' by Manohar Swamynathan
Facilitating the design, comparison and sharing of deep text matching models.
Material Design icons by Google
Material Design Components in HTML/CSS/JS
React components that implement Google's Material Design.
a cheat-sheet for mathematical notation in code form
Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.
matplotlib: plotting with Python
MCW Big data and visualization
Mirror of Apache Mesos
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
Gitbook
This repository contains the winning solution (2nd place) of the Macrosoft Maleware Prediction Challenge on Kaggle.
Hand-crafted frontend development
:books: Books that will blow your mind
Framework to streamline use of neural networks
An open-source implementation of the AlphaGoZero algorithm
Run Kubernetes locally
:triangular_ruler: Jekyll theme for personal sites, blogs, and portfolios. Two-columns and extremely flexible.