Implementation of deep residual networks with inception bottleneck in Lasagne

Python implementation of machine learning algorithms

My Dockerfiles

3-day dive into deep learning at csc

A generative RNN-LSTM Deep Learning Model trained on Bach's Fugues and Preludes.

Generating proportional fonts with deep learning

A quick intro into Theano and Lasagne

Theano implementation of XNOR-Net

Adversarial Discriminative Domain Adaptation with MNIST 64x64 in Lasagne-Theano

Lasagne Implementation of Densely Connected Convolutional Networks

Boundary Equibilibrium Generative Adversarial Networks (BEGAN) in Lasagne-Theano

This is my Code for Kaggle facialkeypoints competition using convolutional neural network.

All my presentations/reports + final project for the COMP767 reinforcement learning class at McGill.

FlowNetS and FlowNetC port to Theano

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

Dockerfiles for deep learning tools.

The repository contains example code for conditional Generative Adversarial Model in theno and Lasagne. The code follows the paper https://arxiv.org/abs/1411.1784 but with a different deep architecture. The folder Generative Images contains Some sampled generated images from the code.