This is your work, valued

Cambridge, USA

Tejas Kulkarni

Elite
@mrkulk

Neural networks, inverse graphics, reinforcement learning, 3D

Unsupervised-Capsule-Network. Capsule network with variations. Originally proposed by Tieleman & Hinton : http://www.cs.toronto.edu/~tijmen/tijmen_thesis.pdf

168

hierarchical-deep-RL. Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation

89

deepQN_tensorflow. Unfinished. Deep Q Learning in Tensorflow for ATARI.

84

MIT-Picture. A probabilistic programming language for visual scene perception

26

text-world. Python MUD/MUX/MUSH/MU* development system

26

Julia-Torch. Interface between Julia and Torch (Lua) using ZMQ

22

NeuralPartialProgramSynthesis. Work in progress. Read at your own risk.

15

SequentialInference. Dirichlet Process Mixture using PVI, SMC, Variational

15

inverse-graphics-networks. (Deprecated) See https://github.com/mrkulk/Unsupervised-Capsule-Network

14

SparseAutoEncoder. SparseAutoEncoder - Unsupervised Learning

14

www_cvpr15. HTML

4

GenerativeSceneUnderstanding. Python

2

GelSight_6.869_Project. Final project for MIT's 6.869

2

SequenceRender. Lua

1

captchaBreak. Breaking captcha's with probabilistic programming

1

amazon-sagemaker-examples. Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

1