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
Stream Framework is a Python library, which allows you to build news feed, activity streams and notification systems using Cassandra and/or Redis. The authors of Stream-Framework also provide a cloud service for feed technology:
Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)
This repository is a one-stop-shop for Data Science and Machine Learning Study Materials compiled from various platforms.
Style guides for Google-originated open-source projects
summaries of all the papers I read
Swagger UI is a collection of HTML, Javascript, and CSS assets that dynamically generate beautiful documentation from a Swagger-compliant API.
A Distributed, Highly Available Mesos Scheduler, Inspired by the design of Google Borg
The Swift Programming Language
Swift for TensorFlow documentation repository.
The Swift machine learning library.
System design interview for IT companies
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
TalkingData AdTracking Fraud Detection Challenge
My solution for TalkingData AdTracking Fraud Detection Challenge (https://www.kaggle.com/c/talkingdata-adtracking-fraud-detection/)
Hyperparameter Optimization for Keras Models
Source-to-Source Debuggable Derivatives in Pure Python
💻 👩💻 Personal walkthrough of the Foundations path for Google's Tech Dev Guide.
💯 Algorithms study materials, behavioral content and tips for rocking your coding interview
Path to Tech Lead: How to be a tech lead ? 迈向 Tech Lead 之路
These are coding solutions for problems I study while preparing for technical interviews at tech companies
Coding interview preparation :sparkles:Includes algorithms, data structures & big-🙃complexities :rocket:
A library for generalized sequence to sequence models
TensorFlow's Visualization Toolkit
A domain specific language to express machine learning workloads.
Computation using data flow graphs for scalable machine learning
中文的 tensorflow tutorial with jupyter notebooks