Alternatives and similar repositories for snapvx

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

• cvxgrp / cvxflow
  ☆67Updated 7 years ago
• locuslab / newton_admm
  A Newton ADMM based solver for Cone programming.
  ☆39Updated 8 years ago
• ziyuw / rembo
  Bayesian optimization in high-dimensions via random embedding.
  ☆115Updated 12 years ago
• fabianp / overview_optalgs
  ☆30Updated 5 years ago
• aatapa / RLScore
  ☆68Updated last week
• Jianbo-Lab / CCM
  ☆74Updated 6 years ago
• jaak-s / BayesianDataFusion.jl
  Bayesian multi-tensor factorization methods, with side information
  ☆29Updated 5 years ago
• afriesen / rdis
  C++ code for the RDIS algorithm from "Recursive Decomposition for Nonconvex Optimization." Friesen and Domingos, IJCAI 2015.
  ☆57Updated 9 years ago
• vsmolyakov / DP_means
  Dirichlet Process K-means
  ☆48Updated last year
• dillonalaird / pysvihmm
  Implementation of stochastic variational inference for Bayesian hidden Markov models.
  ☆68Updated 8 years ago
• epfl-lts2 / pyunlocbox
  A Python convex optimization package using proximal splitting methods
  ☆117Updated last month
• brendenlake / structural-sparsity
  Structure learning for sparse graphs with latent variables
  ☆44Updated 8 years ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆33Updated 9 years ago
• powerscorinne / GLRM
  ☆99Updated 7 years ago
• wittawatj / kernel-gof
  NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.
  ☆67Updated 6 years ago
• approximateinference / approximateinference.github.io
  NeurIPS workshop on Advances in Approximate Bayesian Inference
  ☆48Updated 6 months ago
• LucaAmbrogioni / GP-CaKe-project
  Bayesian Effective Connectivity
  ☆54Updated 6 years ago
• cvxgrp / ncvx
  ☆77Updated 3 years ago
• charlesmartin14 / emf-rbm
  Extended Mean Field Restricted Boltzmann Machine
  ☆16Updated 8 years ago
• BigBayes / SGRLD
  Stochastic Gradient Riemannian Langevin Dynamics
  ☆34Updated 10 years ago
• philipphennig / probabilistic-numerics.org
  This repository houses the code for the community website http://www.probabilistic-numerics.org
  ☆36Updated 5 years ago
• SheffieldML / vargplvm
  Bayesian GPLVM in MATLAB and R
  ☆76Updated 8 years ago
• drckf / paysage
  Unsupervised learning and generative models in python/pytorch.
  ☆119Updated 2 years ago
• hyperopt / hyperopt-nnet
  Hyperparameter optimization for neural networks
  ☆48Updated 12 years ago
• BRML / climin
  Optimizers for machine learning
  ☆182Updated 2 years ago
• aschein / bptd
  Bayesian Poisson Tucker decomposition
  ☆17Updated 8 years ago
• duvenaud / warped-mixtures
  Code for density estimation with nonparametric cluster shapes.
  ☆39Updated 9 years ago
• fabianp / group_lasso
  ☆39Updated 13 years ago
• edwardlib / papers
  Edward content including papers, posters, and talks
  ☆92Updated 5 years ago
• PMBio / pygp
  A Gaussian process toolbox in python
  ☆42Updated 13 years ago