NitishMutha/Reinforcement-Learning-Atari-Games

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Created over 7 years ago
Updated almost 7 years ago

NitishMutha/Reinforcement-Learning-Atari-Games

NitishMutha

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Q-Learning based Reinforcement Learning implementation, make AI self-learn to play Cartpole and 3 Atari games (Boxing, Pong, Pacman)

equirectangular-toolbox

Handy tool for equirectangular images

CNN-Feature-Extractor

Handy TensorFlow code to extract features from any image using CNN using state of the art architectures

RNN-pixel-prediction

In-painting: Implement LSTM based pixel prediction to predict the missing pixel in an image

Jupyter Notebook

Fully-convolutional-networks-TF

A TensorFlow implementation of Fully Convolutional Networks (by http://fcn.berkeleyvision.org) which can be used for any segmentation dataset with any number of classes

paintings-emotion-classifier

Affective Computing and Human Robot Interaction project to identify emotions in paintings using transfer learning

Jupyter Notebook

Kaggle-home-depot-challenge

Kaggle challenge to predict to rank household products