steveli / gp-adapterLinks
Scalable GP Adapter for Time Series Classification
☆13Updated 8 years ago
Alternatives and similar repositories for gp-adapter
Users that are interested in gp-adapter are comparing it to the libraries listed below
Sorting:
- Code for the icml paper "zero inflated exponential family embedding"☆29Updated 7 years ago
- Variational Fourier Features☆85Updated 4 years ago
- Implementation of linear CorEx and temporal CorEx.☆37Updated 4 years ago
- Wasserstein regularization for sparse multi-task regression☆15Updated 5 years ago
- ☆12Updated 2 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64Updated 7 years ago
- TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper☆51Updated 6 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago
- This is code associated with the paper: Broderick, T, Boyd, N, Wibisono, A, Wilson, AC, and Jordan, MI. Streaming variational Bayes. Neur…☆41Updated 11 years ago
- Exponential family embeddings (Poisson or Bernoulli) for discrete data☆32Updated 6 years ago
- NPHC☆17Updated 4 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)☆38Updated 8 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 11 years ago
- Gaussian Processes in Pytorch☆75Updated 5 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
- State space modeling with recurrent neural networks☆45Updated 7 years ago
- ☆11Updated 9 years ago
- Deep exponential families (DEFs)☆55Updated 7 years ago
- Sparse Beta-Divergence Tensor Factorization Library☆48Updated 3 months ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 5 years ago
- Movies Recommendation with Hierarchical Poisson Factorization in Edward☆18Updated 8 years ago
- This implements variational inference for the correlated topic model.☆21Updated 10 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆69Updated 8 years ago
- Python code for implementing embeddings in the Wasserstein space of elliptical distributions☆11Updated 5 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 5 years ago
- Implementation of the Incremental Sequence Learning algorithms described in the Incremental Sequence Learning article☆40Updated 8 years ago
- Bernoulli Embeddings for Text☆83Updated 7 years ago
- ☆26Updated 6 years ago
- Replication code for the article "Learning Functional Causal Models with Generative Neural Networks"☆100Updated 6 years ago