anirudh9119 / zforcing_nips17Links
Z Forcing: Training Stochastic RNN's, NIPS'17
☆32Updated 7 years ago
Alternatives and similar repositories for zforcing_nips17
Users that are interested in zforcing_nips17 are comparing it to the libraries listed below
Sorting:
- ZForcing Repo☆40Updated 7 years ago
- Solving reinforcement learning tasks which require language and vision☆33Updated 2 years ago
- SeqGAN but with more bells and whistles☆24Updated 7 years ago
- Code accompanying the OptionGAN paper.☆44Updated 6 years ago
- Code for ICLR 2019 paper Learning Dynamics Model by Incorporating the Long Term Future☆50Updated 6 years ago
- Variational Autoencoders with Gaussian Mixture Latent Space☆36Updated 8 years ago
- An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar…☆26Updated 7 years ago
- Measuring compositionality in representation learning☆73Updated 6 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated 2 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 6 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆42Updated 6 years ago
- E2C implementation in PyTorch☆43Updated 8 years ago
- Learning with latent language☆51Updated 4 years ago
- A pytorch implementation of Amortized Stein Variational Gradient Descent/ Stein GAN☆19Updated 6 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
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- Stein Variational Policy Gradient for REINFORCE☆18Updated 8 years ago
- Variational Autoencoder with Spatial Broadcast Decoder☆35Updated 6 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆28Updated 6 years ago
- ☆15Updated 5 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Updated 7 years ago
- PyTorch implementation of AVF☆45Updated 4 years ago
- Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…☆17Updated 5 years ago
- Code for the "Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions" paper.☆73Updated 2 years ago
- ☆50Updated 4 years ago
- SCAN: Learning Abstract Hierarchical Compositional Visual Concepts☆54Updated 7 years ago
- Implementation of Grounded Language Learning in a 3D Simulated World (DeepMind)☆34Updated 8 years ago
- pytorch implementation of VAE-Gumble-Softmax☆63Updated 5 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆63Updated 5 years ago
- Variational Reinforcement Learning☆16Updated last year