andrewliao11 / dni.pytorchLinks
Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch
☆119Updated 7 years ago
Alternatives and similar repositories for dni.pytorch
Users that are interested in dni.pytorch are comparing it to the libraries listed below
Sorting:
- Cleaned original source code from my NIPS publication☆155Updated 7 years ago
- Weight initialization schemes for PyTorch nn.Modules☆70Updated 8 years ago
- Decoupled Neural Interfaces using Synthetic Gradients for PyTorch☆237Updated 6 years ago
- PixelVAE with or without regularization☆66Updated 8 years ago
- ☆79Updated 7 years ago
- ☆63Updated 9 years ago
- Pytorch implementation of DeepMind's differentiable neural computer paper.☆93Updated 7 years ago
- PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks☆80Updated 7 years ago
- Tools for PyTorch☆222Updated 2 years ago
- supercell☆192Updated 7 years ago
- A Tensorfflow implementation of Attend, Infer, Repeat☆81Updated 6 years ago
- ☆92Updated 8 years ago
- The first public PyTorch implementation of Attentive Recurrent Comparators☆146Updated 7 years ago
- Tensorflow implementation of Generative Latent Optimization (GLO) proposed by Facebook AI Research☆95Updated 7 years ago
- Code for the models in "PixelVAE: A Latent Variable Model for Natural Images" (https://arxiv.org/abs/1611.05013☆93Updated 8 years ago
- Neural Turing Machine (NTM) & Differentiable Neural Computer (DNC) with pytorch & visdom☆277Updated 7 years ago
- boundary-seeking generative adversarial networks☆46Updated 7 years ago
- Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"☆65Updated 8 years ago
- ☆123Updated 7 years ago
- for learning reinforcement learning using PyTorch.☆64Updated 5 years ago
- ☆56Updated 6 years ago
- Forward-mode Automatic Differentiation for TensorFlow☆139Updated 7 years ago
- Tensorflow Implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks☆102Updated 8 years ago
- Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training o…☆149Updated 8 years ago
- Gumbel-Softmax Variational Autoencoder with Keras☆132Updated 7 years ago
- Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)☆125Updated 7 years ago
- ☆133Updated 7 years ago
- A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)☆59Updated 8 years ago
- Experiments with differentiable stacks and queues in PyTorch☆142Updated 5 years ago
- Implementation of Coulomb GANs☆62Updated 3 years ago