gyglim / dvn
Reference implementation for Structured Prediction with Deep Value Networks
☆55Updated 7 years ago
Alternatives and similar repositories for dvn
Users that are interested in dvn are comparing it to the libraries listed below
Sorting:
- Architecture learning for CNN's☆37Updated 8 years ago
- ☆44Updated 7 years ago
- ☆29Updated 7 years ago
- Code for Attentive Recurrent Comparators☆57Updated 8 years ago
- Implement Natural Language Object Retrieval in tensorflow☆35Updated 8 years ago
- Generalized Loss-Sensitive Generative Adversarial Networks (GLS-GAN)☆46Updated 8 years ago
- Learning Deep Parsimonious Representations, Deep Learning, Clustering, NIPS 2016☆14Updated 5 years ago
- Torch implementation reproducing MNIST experiments from DeepMind's DNI paper.☆43Updated 8 years ago
- Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.☆33Updated 7 years ago
- Distributed A3C☆34Updated 7 years ago
- Implementation of Deep Neural Decision Forest based on MSR paper☆29Updated 9 years ago
- A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)☆59Updated 7 years ago
- A more memory efficient Torch implementation of "Densely Connected Convolutional Networks".☆29Updated 8 years ago
- ☆16Updated 8 years ago
- Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"☆65Updated 7 years ago
- ☆38Updated 8 years ago
- PyTorch Impl. of Prediction Optimizer (to stabilize GAN training)☆31Updated 6 years ago
- Torch implementation of PixelCNN for MNIST☆29Updated 8 years ago
- Weight initialization schemes for PyTorch nn.Modules☆70Updated 8 years ago
- Professor Forcing, NIPS'16☆45Updated 8 years ago
- PixelVAE with or without regularization☆66Updated 7 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 6 years ago
- ☆79Updated 7 years ago
- Deterministic Policy Gradient using torch7☆43Updated 8 years ago
- A bare-bones NumPy implementation of "Multimodal Neural Language Models" (Kiros et al, ICML 2014)☆55Updated 8 years ago
- A Caffe implementation of http://arxiv.org/abs/1512.07928☆39Updated 8 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Updated 7 years ago
- boundary-seeking generative adversarial networks☆46Updated 7 years ago
- A PyTorch implementation of Recurrent Additive Networks by Lee et al. (2017)☆29Updated 7 years ago
- Code of the paper `Disentangling factors of variation in deep representations using adversarial training` by Mathieu, Zaho, Ramesh, Sprec…☆21Updated 8 years ago