dswah / sgcrfpyLinks
SGCRFpy: Sparse Gaussian Conditional Random Fields in Python
☆29Updated 8 years ago
Alternatives and similar repositories for sgcrfpy
Users that are interested in sgcrfpy are comparing it to the libraries listed below
Sorting:
- A Gaussian process toolbox in python☆42Updated 13 years ago
- Variational Fourier Features☆86Updated 4 years ago
- Code for AutoGP☆27Updated 6 years ago
- A Cython interface to FLANN☆24Updated 4 years ago
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 7 years ago
- Functional ANOVA☆27Updated 10 years ago
- Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python☆23Updated 9 years ago
- Ordered Weighted L1 regularization for classification and regression in Python☆52Updated 6 years ago
- A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation☆128Updated 4 years ago
- A collection of Gaussian process models☆30Updated 7 years ago
- Library of common tools for machine learning research.☆41Updated 7 years ago
- Automatic differentiation + optimization☆103Updated 6 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Updated 9 years ago
- ☆74Updated 6 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- ☆98Updated 7 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- Particle Gibbs for Bayesian Additive Regression Trees☆33Updated 10 years ago
- A Python convex optimization package using proximal splitting methods☆112Updated last year
- Hidden Markov Models (HMMs) with tied states and autoregressive observations☆23Updated 5 years ago
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆82Updated last year
- This code accompanies the proximity variational inference paper.☆18Updated 6 years ago
- Scikit-learn compatible Locality Preserving Projections in Python☆94Updated 6 years ago
- Automatic differentiation for NumPy☆100Updated 10 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Exponential Machines implementation☆42Updated 5 months ago
- Bayesian dessert for Lasagne☆84Updated 8 years ago
- Vector-Space Markov Random Fields☆21Updated 10 years ago
- Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-…☆43Updated 4 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 7 years ago