Boundary Equibilibrium Generative Adversarial Networks (BEGAN) in Lasagne-Theano
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Updated
Apr 10, 2017 - Python
Boundary Equibilibrium Generative Adversarial Networks (BEGAN) in Lasagne-Theano
Repository with CNN code base on Lasagne and nolearn
Some pretty easy (but still awesome) examples with artificial neural networks
Lasagne Implementation of Densely Connected Convolutional Networks
Dockerfiles for deep learning tools.
Evaluating adipocyte differentiation of bone marrow-derived mesenchymal stem cells by a deep learning method for automatic lipid droplet counting
Implementations of Deep Neural Networks, Recurrent Neural Networks and Convolutional Neural Networks
A CNN that learns how to pronounce Chinese characters.
A simple implementation of the Deep Q-Network used to play Atari games
This work is part of practical Deep Learning in Computer Vision in which we apply CNN(Convolutional Neural Network) to predict protein function in different classes. We used Theano and lasagne deep learning libraries for CNN
neural network project for grad school, using lasagne
All my presentations/reports + final project for the COMP767 reinforcement learning class at McGill.
Prototype for a virtual keyboard based on IMUs and machine learning
Telegram bot for finding moments in video by text description via neural networks
SqueezeDet object detector reimplemented in Theano/Lasagne
Using ConvNet as feature extractor using nolearn and lasagne
Dockerfile for Lasagne with Cuda support. Look at the branches for relevant Dockerfiles - ``cpu`` and ``gpu``.
Code for submission of Speiser et al to spike-finder-challenge 2017
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