Zeta36 / random-memory-adaptationLinks
Random memory adaptation model inspired by the paper: "Memory-based parameter adaptation (MbPA)"
☆24Updated 7 years ago
Alternatives and similar repositories for random-memory-adaptation
Users that are interested in random-memory-adaptation are comparing it to the libraries listed below
Sorting:
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated 2 years ago
- Repository for our ICLR 2018 paper: memoryGAN☆46Updated 7 years ago
- ReGAN: Sequence GAN using RE[INFORCE|LAX|BAR] based PG estimators☆41Updated 7 years ago
- An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…☆72Updated 7 years ago
- SCAN: Learning Abstract Hierarchical Compositional Visual Concepts☆54Updated 7 years ago
- Distributed A3C☆34Updated 7 years ago
- A chainer implementation of Memory Augmented Neural Network☆48Updated 9 years ago
- Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch☆57Updated 7 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Updated 7 years ago
- Professor Forcing, NIPS'16☆45Updated 8 years ago
- Tensorflow implementation of Meta-Learning with Temporal Convolutions☆98Updated 7 years ago
- Generative Matching Networks☆29Updated 8 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 6 years ago
- ZForcing Repo☆40Updated 7 years ago
- Code for Emergent Translation in Multi-Agent Communication☆80Updated 7 years ago
- Pytorch implementation of bytenet from "Neural Machine Translation in Linear Time" paper☆46Updated 7 years ago
- boundary-seeking generative adversarial networks☆46Updated 7 years ago
- Repository for our ICCV 2017 paper: A Read Write Network for Movie Story Understanding☆85Updated 7 years ago
- Unsupervised Learning by Predicting Noise☆90Updated 3 years ago
- Comparing Fixed and Adaptive Computation Time for Recurrent Neural Networks☆35Updated 7 years ago
- Demo code for the paper ''Distributional Adversarial Networks''☆19Updated 7 years ago
- Highway networks implemented in PyTorch.☆55Updated 8 years ago
- One-Shot Learning using Nearest-Neighbor Search (NNS) and Locality-Sensitive Hashing LSH☆74Updated 7 years ago
- An official TensorFlow implementation of "Neural Program Synthesis from Diverse Demonstration Videos" (ICML 2018) by Shao-Hua Sun, Hyeonw…☆102Updated 2 years ago
- Tensorflow implementation of Generative Latent Optimization (GLO) proposed by Facebook AI Research☆95Updated 7 years ago
- Code to build VAE models that are jointly conditioned.☆36Updated 7 years ago
- Non-Adversarial Unsupervised Domain Mapping☆39Updated 6 years ago
- Implementation of Hierarchical Long-term Video Prediction without Supervision☆89Updated 3 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆42Updated 6 years ago
- Code for the paper "Representation Learning for Grounded Spatial Reasoning"☆52Updated 5 years ago