probcomp / trcrpmLinks
Temporally-reweighted Chinese restaurant process mixture models for multivariate time series
☆37Updated last year
Alternatives and similar repositories for trcrpm
Users that are interested in trcrpm are comparing it to the libraries listed below
Sorting:
- Repository of models in Pyro☆29Updated 11 months ago
- Automatic Reparameterisation of Probabilistic Programs☆36Updated 5 years ago
- Implementation of linear CorEx and temporal CorEx.☆37Updated 3 years ago
- Implementation of Hidden Markov Models in pymc3☆61Updated 8 years ago
- ☆98Updated 7 years ago
- Pyro models and misc examples.☆19Updated 4 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 10 years ago
- Code for "Towards a learning theory of cause-effect inference" (ICML 2015).☆30Updated 4 years ago
- Variational Fourier Features☆86Updated 4 years ago
- ☆12Updated last year
- Exponential family embeddings (Poisson or Bernoulli) for discrete data☆32Updated 6 years ago
- Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"☆26Updated 6 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Particle Gibbs for Bayesian Additive Regression Trees☆32Updated 10 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆82Updated 5 years ago
- "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu☆27Updated 6 years ago
- Bayesian Effective Connectivity☆54Updated 6 years ago
- Movies Recommendation with Hierarchical Poisson Factorization in Edward☆18Updated 8 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Edward content including papers, posters, and talks☆91Updated 4 years ago
- Neural Processes implementation for 1D regression☆65Updated 6 years ago
- An implementation of Adams & MacKay 2007 "Bayesian Online Changepoint Detection"☆31Updated 10 years ago
- Posterior Server☆15Updated 8 years ago
- NPHC☆17Updated 4 years ago
- Automatic differentiation + optimization☆103Updated 6 years ago
- Collaborative filtering with the GP-LVM☆25Updated 10 years ago
- Code for the icml paper "zero inflated exponential family embedding"☆29Updated 7 years ago
- A python library for stochastic variational inference and differentiable probabilistic programming☆33Updated 6 years ago
- Train neural networks to use as SMC and importance sampling proposals☆24Updated 7 years ago