ICML14MoMCompare / spectral-learn
Collection of three method of moments based algorithms for learning stochastic languages.
☆15Updated 10 years ago
Alternatives and similar repositories for spectral-learn:
Users that are interested in spectral-learn are comparing it to the libraries listed below
- Tools for accessing/processing Reddit data and constructing networks based on this data. (Not an API crawler.)☆17Updated 8 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆68Updated 10 years ago
- NeurIPS 2018. Linear-time model comparison tests.☆18Updated 5 years ago
- Recognizing and exploiting conjugacy without a domain-specific language☆36Updated 5 years ago
- Structure learning for sparse graphs with latent variables☆45Updated 8 years ago
- Lanugage of Thought (LOT) models in Python.☆33Updated 5 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 9 years ago
- A Python implementation of the gradient REBAR estimator.☆46Updated 6 years ago
- Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation☆61Updated 4 years ago
- Contains methods to uniformly sample graphs with a given degree sequence.☆19Updated 6 years ago
- Expectation Particle Belief Propagation code☆12Updated 6 years ago
- Code to reproduce experiments appearing in the academic paper Lost Relatives of the Gumbel Trick☆17Updated 7 years ago
- My PhD Thesis☆22Updated 8 years ago
- Modelling epidemiological dynamics and performing inference in these models☆27Updated 3 years ago
- Reference implementation of algorithms for reinforcement learning and Markov decision processes.☆12Updated 4 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- ☆8Updated 8 years ago
- This code accompanies the proximity variational inference paper.☆18Updated 6 years ago
- ☆15Updated 4 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆63Updated 6 years ago
- Poisson-Gamma dynamical systems☆16Updated 8 years ago
- Reading Group on Reinforcement Learning topics☆56Updated 8 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 8 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 10 years ago
- Python implementation of projection losses.☆25Updated 5 years ago
- How (but not why) to do Twitter sociolinguistic analysis in the Unix Shell☆10Updated 9 years ago
- Implicit generative models and related stuff based on the MMD, in PyTorch☆16Updated 4 years ago
- ☆11Updated last year
- Optimally-weighted herding is Bayesian Quadrature☆16Updated 8 years ago