Lasagne

What is it

Lasagne is a high-level interface for Theano.

Links

Lasagne

Github repo: https://github.com/Lasagne/Lasagne

Documentation: https://lasagne.readthedocs.io/en/latest/

Using Lasagne via Docker: https://lasagne.readthedocs.io/en/latest/user/installation.html#docker

• Can use CPU Docker image, or GPU Docker image (via nvidia-docker)

Github

Lasagne

• https://github.com/Lasagne/Lasagne - main repo

• https://github.com/Kaixhin/dockerfiles - Docker images for Lasagne/Theano

• https://agentnet.readthedocs.io/en/latest/index.html - AgentNet is a toolkit for deep reinforcement learning agent design

Resources/Teaching

• https://github.com/Lasagne/Recipes - Lasagne recipes (examples, models, notebooks, etc.)

• https://github.com/Vict0rSch/deep_learning - Deep learning tutorials and resources for Lasagne+Keras

• https://github.com/lesley2958/deep-learning-python - introduction to deep learning with theano/lasagne

• https://github.com/yandexdataschool/Practical_DL - practical deep learning course resources

Implementations of Papers/Example Networks

• https://github.com/mikesj-public/convolutional_autoencoder - convolutional autoencoder in lasagne/jupyter notebook

• https://github.com/ferrine/gelato - Bayesian network layers for Lasagne

• https://github.com/joelmoniz/gogh-figure - van Gogh style transfer

• https://github.com/tjwei/GANotebooks - generative adversarial neural network implementations in Lasagne, Keras, and PyTorch

• https://github.com/zalandoresearch/spatial_gan - spatial generative adversarial neural network (one network generates, one network tries to spot the fake stuff)

• https://github.com/luizgh/lasagne_basics - training Lasagne CNN on MNIST data set

• https://github.com/FredericGodin/DynamicCNN - dynamic CNN in Lasagne

• https://github.com/TimSalimans/weight_norm - illustration of weight normalization in Lasagne