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
Recommender Systems
Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, HyperLogLogs, Bitmaps.
Reference implementations of MLPerf benchmarks
Minimal and Clean Reinforcement Learning Examples
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
This repository contains most of classic deep reinforcement learning algorithms, including - DQN, DDPG, A3C, PPO, TRPO. (More algorithms are still in progress)
Python implementation of Reinforcement Learning: An Introduction
A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.
Simple Reinforcement learning tutorials
Code for each week's short video of Siraj Raval Course on Reinforcement Learning "AI for Video Games"
A living collection of deep learning problems
Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks
The open-source database for the realtime web.
Retro Games in Gym
Type-safe HTTP client for Android and Java by Square, Inc.
Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one written in C++, along with various language-specific wrappers.
Decentralized cryptocurrency blockchain daemon implementing the XRP Ledger in C++
PyTorch0.4 tutorial of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay
A collection of papers on reinforcement learning applied to NLP
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
Benchmarks for several RNN variations with different deep-learning frameworks
Open-source software for robot simulation, integrated with OpenAI Gym.
Universal Bot: Robotics with Python through Deep Reinforcement Learning and Other Novel Learning Algorithms
A data science IDE for Python
Series of webinars and documents on Reproducible Research
A safe, concurrent, practical language.
A sample project that exists for PyPUG's "Tutorial on Packaging and Distributing Projects"
2nd Place Solution of the Kaggle Competition - Santander Product Recommendation
The 3rd place solution for Santander Customer Satisfaction competition
Collection of tech talks, papers and web links on Distributed Systems, Scalability and System Design.