epfl-lts2 / pyunlocboxLinks
A Python convex optimization package using proximal splitting methods
☆112Updated 2 years ago
Alternatives and similar repositories for pyunlocbox
Users that are interested in pyunlocbox are comparing it to the libraries listed below
Sorting:
- Proximal algorithms made easy in Python☆59Updated 8 years ago
- A Newton ADMM based solver for Cone programming.☆39Updated 8 years ago
- Randomized online matrix factorization☆140Updated 5 years ago
- Sample implementations of proximal operators☆194Updated 12 years ago
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆82Updated last year
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆69Updated 7 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- Bayesian GPLVM in MATLAB and R☆75Updated 8 years ago
- Randomized Dimension Reduction Library☆115Updated 4 years ago
- Backpropagate derivatives through the Cholesky decomposition☆58Updated 5 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- A collection of Gaussian process models☆30Updated 8 years ago
- A MATLAB toolbox for building first-order solvers for convex models.☆142Updated 3 years ago
- MATLAB implementation of AdaGrad, Adam, Adamax, Adadelta etc.☆33Updated 4 years ago
- Code for paper "Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation"☆31Updated 5 years ago
- TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network☆183Updated 7 years ago
- A highly optimized, parallel implementation of the Batch-OMP version of the KSVD learning algorithm.☆80Updated 5 years ago
- SGCRFpy: Sparse Gaussian Conditional Random Fields in Python☆29Updated 8 years ago
- Robust Principal Component Analysis via ADMM in Python☆106Updated 8 years ago
- A Python implementation of the Principal Component Pursuit algorithm from arXiv:0912.3599☆66Updated 5 years ago
- Variational Fourier Features☆85Updated 4 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Updated 9 years ago
- Python implementation of the Fast Iterative Shrinkage/Thresholding Algorithm.☆93Updated 6 years ago
- ☆98Updated 7 years ago
- pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.☆216Updated 6 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- ☆67Updated 7 years ago
- Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…☆45Updated 10 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 9 years ago
- Pure Python/Numpy implementation of the Nelder-Mead algorithm.☆125Updated 4 years ago