arthurmensch / didyprog
Differentiable Dynamic Programming
☆69Updated 4 years ago
Alternatives and similar repositories for didyprog:
Users that are interested in didyprog are comparing it to the libraries listed below
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 7 years ago
- ☆120Updated 5 years ago
- Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling☆91Updated 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 6 years ago
- Experiments for the Neural Autoregressive Flows paper☆123Updated 3 years ago
- Implementation of soft dynamic time warping in pytorch☆100Updated 3 years ago
- An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar…☆24Updated 6 years ago
- ☆37Updated 5 years ago
- Pytorch implementation of the Power Spherical distribution☆74Updated 8 months ago
- Implementation of REBAR in PyTorch☆17Updated 6 years ago
- Code for "Sequential Neural Models with Stochastic Layers"☆115Updated 8 years ago
- PyTorch implementation of AVF☆45Updated 4 years ago
- ☆49Updated 4 years ago
- Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)☆76Updated 8 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- RL Experiments from our paper "Backpropagation Through the Void": https://arxiv.org/abs/1711.00123. Lovingly forked from OpenAI's RL Base…☆38Updated 7 years ago
- Variational Autoencoders with Gaussian Mixture Latent Space☆36Updated 7 years ago
- This repository contains the code to reproduce the core results from the paper "Unsupervised Learning of Disentangled and Interpretable R…☆155Updated 7 years ago
- Optimizing control variates for black-box gradient estimation☆162Updated 5 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Updated 7 years ago
- This is the code for the paper 'Quaternion Recurrent Neural Networks'.☆58Updated 6 years ago
- Differentiable bitonic sorting☆139Updated 4 years ago
- custom cuda kernel for {2, 3}d relative attention with pytorch wrapper☆43Updated 4 years ago
- Code for experiments with our RNN regularizer, which stochastically forces units to maintain previous values.☆78Updated 7 years ago
- BIVA: A Very Deep Hierarchy of Latent Variables forGenerative Modeling☆29Updated 5 years ago
- ☆27Updated 4 years ago
- Representation learning for NLP @ JSALT19☆38Updated 4 years ago
- This repository contains the code to reproduce the core results from the paper "Scalable Factorized Hierarchical Variational Autoencoders…☆53Updated 6 years ago
- Pytorch Implementation of OpenAI's GLOW☆93Updated 4 years ago
- ☆180Updated 5 years ago