Alternatives and similar repositories for pyunlocbox:

Users that are interested in pyunlocbox are comparing it to the libraries listed below

• svaiter / pyprox
  Proximal algorithms made easy in Python
  ☆59Updated 7 years ago
• thangbui / geepee
  A collection of Gaussian process models
  ☆30Updated 7 years ago
• locuslab / newton_admm
  A Newton ADMM based solver for Cone programming.
  ☆38Updated 7 years ago
• drrelyea / spgl1
  Port of SPGL1 to python
  ☆45Updated 5 months ago
• JeanKossaifi / FISTA
  Python implementation of the Fast Iterative Shrinkage/Thresholding Algorithm.
  ☆87Updated 6 years ago
• mp4096 / adawhatever
  MATLAB implementation of AdaGrad, Adam, Adamax, Adadelta etc.
  ☆33Updated 4 years ago
• SheffieldML / vargplvm
  Bayesian GPLVM in MATLAB and R
  ☆74Updated 7 years ago
• arthurmensch / modl
  Randomized online matrix factorization
  ☆137Updated 4 years ago
• zayd / sparsenet
  Sparse dictionary learning
  ☆30Updated 10 years ago
• jameshensman / VFF
  Variational Fourier Features
  ☆83Updated 3 years ago
• duvenaud / deep-limits
  Repo for a paper about constructing priors on very deep models.
  ☆72Updated 8 years ago
• ganguli-lab / proxalgs
  Proximal algorithms and operators in python
  ☆25Updated 5 years ago
• Sohl-Dickstein / LAHMC
  Look Ahead Hamiltonian Monte Carlo
  ☆30Updated 9 years ago
• mattjj / pyslds
  ☆92Updated 6 years ago
• cvxr / TFOCS
  A MATLAB toolbox for building first-order solvers for convex models.
  ☆137Updated 2 years ago
• erichson / ristretto
  Randomized Dimension Reduction Library
  ☆116Updated 3 years ago
• dillonalaird / pysvihmm
  Implementation of stochastic variational inference for Bayesian hidden Markov models.
  ☆65Updated 7 years ago
• dfm / pcp
  A Python implementation of the Principal Component Pursuit algorithm from arXiv:0912.3599
  ☆64Updated 4 years ago
• powerscorinne / GLRM
  ☆97Updated 6 years ago
• ssydasheng / Neural-Kernel-Network
  Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326
  ☆71Updated 6 years ago
• cvxgrp / proximal
  Sample implementations of proximal operators
  ☆187Updated 11 years ago
• gpapamak / epsilon_free_inference
  Code for paper "Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation"
  ☆31Updated 5 years ago
• earcher / vilds
  Black box variational inference for state space models
  ☆1Updated 8 years ago
• hoytak / pyksvd
  A highly optimized, parallel implementation of the Batch-OMP version of the KSVD learning algorithm.
  ☆78Updated 5 years ago
• pierreablin / autoptim
  Automatic differentiation + optimization
  ☆104Updated 5 years ago
• pmelchior / proxmin
  Proximal optimization in pure python
  ☆115Updated 2 years ago
• bwohlberg / sporco-cuda
  CUDA extension for the SPORCO project
  ☆18Updated 3 years ago
• t-vi / candlegp
  Gaussian Processes in Pytorch
  ☆75Updated 4 years ago
• markvdw / convgp
  Convolutional Gaussian processes based on GPflow.
  ☆95Updated 7 years ago
• brain-research / l2hmc
  TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network
  ☆182Updated 6 years ago