skaae / lasagne-draw
Implementation of the DRAW network in lasagne
☆199Updated 9 years ago
Related projects ⓘ
Alternatives and complementary repositories for lasagne-draw
- Recreating the Deep Residual Network in Lasagne☆118Updated 8 years ago
- ☆88Updated 9 years ago
- Torch implementation of DRAW: A Recurrent Neural Network For Image Generation☆137Updated 9 years ago
- Torch7 implementation of Grid LSTM as described here: http://arxiv.org/pdf/1507.01526v2.pdf☆188Updated 8 years ago
- Generative Adversarial Networks with Keras☆156Updated 4 years ago
- Code and models from the paper "Layer Normalization"☆245Updated 8 years ago
- Theano-based Alexnet☆229Updated 7 years ago
- MultiGPU enabled image generative models (GAN and DCGAN)☆209Updated 4 years ago
- Nano size Theano LSTM module☆305Updated 7 years ago
- Practical 6: LSTM language models☆260Updated 9 years ago
- Rethinking the Inception Architecture for Computer Vision☆131Updated 7 years ago
- An implementation of Highway Networks in Caffe☆96Updated 9 years ago
- An universal deep learning models conversor☆141Updated 8 years ago
- Benchmarks for several RNN variations with different deep-learning frameworks☆169Updated 5 years ago
- deep extensions to nn☆194Updated 7 years ago
- Code for Kaggle-CIFAR10 competition. 5th place.☆246Updated 8 years ago
- Adversarial networks in TensorFlow☆169Updated 8 years ago
- ☆164Updated 8 years ago
- Multi-GPU mini-framework for Theano☆195Updated 7 years ago
- Automatic Caffe parameter search via Spearmint Bayesian optimisation☆96Updated 8 years ago
- Deep Unsupervised Perceptual Grouping☆131Updated 4 years ago
- A deep learning library for streamlining research and development using the Torch7 distribution.☆343Updated 8 years ago
- Graph Computation for nn☆299Updated 7 years ago
- ☆207Updated last year
- Recurrent Neural Network for modeling sequential data implemented using Python and Theano.☆92Updated 9 years ago
- Reimplementation of DRAW☆347Updated 8 years ago
- Implementation of the paper [Using Fast Weights to Attend to the Recent Past](https://arxiv.org/abs/1610.06258)☆172Updated 8 years ago