arthurmensch / didyprogLinks
Differentiable Dynamic Programming
☆70Updated 4 years ago
Alternatives and similar repositories for didyprog
Users that are interested in didyprog are comparing it to the libraries listed below
Sorting:
- ☆121Updated 5 years ago
- Experiments for the Neural Autoregressive Flows paper☆124Updated 4 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 7 years ago
- Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling☆91Updated 8 years ago
- Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mand…☆106Updated 6 years ago
- PyTorch implementation of AVF☆45Updated 4 years ago
- Implementation of soft dynamic time warping in pytorch☆99Updated 3 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
- Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)☆76Updated 8 years ago
- ☆37Updated 6 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆179Updated 3 years ago
- custom cuda kernel for {2, 3}d relative attention with pytorch wrapper☆43Updated 5 years ago
- ☆180Updated 6 years ago
- Normalizing Flows in Jax☆107Updated 4 years ago
- Demos, pretrained models, and (WIP) code supporting Representation Mixing☆51Updated 6 years ago
- Implementation and tutorials of normalizing flows with the novel distributions module☆168Updated 4 years ago
- Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"☆82Updated 5 years ago
- Variational Auto-Encoders in a Sequential Setting.☆175Updated 7 years ago
- This is the code for the paper 'Quaternion Recurrent Neural Networks'.☆59Updated 6 years ago
- Code for "Sequential Neural Models with Stochastic Layers"☆117Updated 8 years ago
- Implementation of REBAR in PyTorch☆17Updated 6 years ago
- Variational Autoencoders with Gaussian Mixture Latent Space☆36Updated 8 years ago
- Optimizing control variates for black-box gradient estimation☆163Updated 5 years ago
- Code for the "Neural Expectation Maximization" paper.☆126Updated 2 years ago
- Code for experiments with our RNN regularizer, which stochastically forces units to maintain previous values.☆78Updated 7 years ago
- Reweighted Expectation Maximization☆29Updated 6 years ago
- ☆49Updated 4 years ago
- Pytorch implementation of the Power Spherical distribution☆74Updated 11 months ago
- Representation learning for NLP @ JSALT19☆39Updated 4 years ago
- Code for "A-NICE-MC: Adversarial Training for MCMC"☆125Updated 6 years ago