ahelou2

deep-learning-invariant-features

This repo contains code for training a deep learning model on a set of unlabled images in order to extract invariant features. Such invariant features can then be used for image recognition with a generic machine learning algorithm.

deep-learning-scene-recognition

Using convolutional deep belief nets to learn natural scene representations

DeepLearningInvariantFeatures

This repo contains code for training a deep learning model on a set of unlabled images in order to extract invariant features. Such invariant features can then be used for image recongnition with a generic machine learning algorithm.

iMotion

iMotionVisualization

opencv3-avfoundation

Open Source Computer Vision Library

react-native-location-beacons

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

slam-exp

ahelou2/deep-learning-scene-recognition

Using convolutional deep belief nets to learn natural scene representations

ahelou2/deep-learning-invariant-features

This repo contains code for training a deep learning model on a set of unlabled images in order to extract invariant features. Such invariant features can then be used for image recognition with a generic machine learning algorithm.

ahelou2/DeepLearningInvariantFeatures

This repo contains code for training a deep learning model on a set of unlabled images in order to extract invariant features. Such invariant features can then be used for image recongnition with a generic machine learning algorithm.

ahelou2/iMotion

ahelou2/iMotionVisualization

ahelou2/opencv3-avfoundation

Open Source Computer Vision Library

ahelou2/react-native-location-beacons

ahelou2/reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

ahelou2/slam-exp