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
Keras code and weights files for popular deep learning models.
Experiments with Deep Learning
:satellite: All You Need to Know About Deep Learning - A kick-starter
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
A repo containing code covering various aspects of deep learning on Pytorch. Great for beginners and intermediate in the field
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Pytorch implementation of deep Person Re-Identification models.
Repo for the Deep Reinforcement Learning Nanodegree program
Hands-on Deep Reinforcement Learning, published by Packt
TensorFlow implementation of Deep Reinforcement Learning papers
Tensorflow based implementation of deep siamese LSTM network to capture phrase/sentence similarity using character/word embeddings
Benchmarking Deep Learning operations on different hardware
Decensoring Hentai with Deep Neural Networks
Deep learning driven jazz generation using Keras & Theano!
A collection of various deep learning architectures, models, and tips
Summaries and notes on Deep Learning research papers
Deep Learning for Java, Scala & Clojure on Hadoop & Spark With GPUs - From Skymind
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support
Deep Learning Tutorial notes and code. See the wiki for more info.
Hardware-accelerated deep learning // machine learning // NumPy library for the web.
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
Torch implementation of DeepMask and SharpMask
Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind
The original code from the DeepMind article + my tweaks
State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.
A series of Docker images (and their generator) that allows you to quickly set up your deep learning research environment.