kuleshov / deep-hybrid-models
Deep hybrid models: bridging discriminative and generative approaches https://cs.stanford.edu/~ermon/papers/uai2017_cr.pdf
☆17Updated 7 years ago
Alternatives and similar repositories for deep-hybrid-models:
Users that are interested in deep-hybrid-models are comparing it to the libraries listed below
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 5 years ago
- Torch7 impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆42Updated 9 years ago
- Code for a generative controller for the AI Gym cartpole task☆15Updated 8 years ago
- pytorch implementation of grammar variational autoencoder☆61Updated 6 years ago
- A clean TensorFlow implementation of Concrete Dropout☆23Updated 7 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 6 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Python package to sample from determinantal point processes☆18Updated 9 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)☆34Updated 8 years ago
- Deriving Neural Architectures from Sequence and Graph Kernels☆59Updated 7 years ago
- Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch☆57Updated 7 years ago
- Echo Noise Channel for Exact Mutual Information Calculation☆17Updated 4 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆38Updated 7 years ago
- Variational Walkback, NIPS'17☆28Updated 7 years ago
- This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request☆33Updated 8 years ago
- Keras implementation of MinimalRNN: Toward More Interpretable and Trainable Recurrent Neural Networks