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
Large-scale linear classification, regression and ranking in Python
Lime: Explaining the predictions of any machine learning classifier
Lingvo
Linux kernel source tree
The definitive list of lists (of lists) curated on GitHub
This competition asks you to determine whether a loan will default, as well as the loss incurred if it does default.
💻 A fully functional local AWS cloud stack. Develop and test your cloud apps offline!
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN (Deep Learning algo). Classifying the type of movement amongst six activity categories - Guillaume Chevalier
A collection of infrastructure and tools for research in neural network interpretability.
:earth_americas: machine learning algorithms tutorials (mainly in Python3)
Content for Udacity's Machine Learning curriculum
Programming Assignments and Lectures for Andrew Ng's "Machine Learning" Coursera course
This is a repository which contains all my work and experience with Machine Learning, AI and Data Science.
A curated collection of free Machine Learning related eBooks
Classical equations and diagrams in machine learning
My Some Machine Learning ML, Deep Learning DL, Data Science, Artificial Intelligence AI (CV/NLP) Projects
A complete daily plan for studying to become a machine learning engineer.
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
A complete ML study path, focused on TensorFlow and Scikit-Learn
A booklet on machine learning systems design with exercises
machine learning and deep learning tutorials, articles and other resources
Python codes for common Machine Learning Algorithms
This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation
A collection of machine learning examples and tutorials.
This is the Curriculum for "Machine Learning Journey" By Siraj Raval on Youtube
ML.NET is an open source and cross-platform machine learning framework for .NET.
Magenta: Music and Art Generation with Machine Intelligence
Magenta.js: Music and Art Generation with Machine Intelligence in the Browser
Integrate Magisk root and Google Apps (OpenGApps) into WSA (Windows Subsystem for Android)