Alternatives and similar repositories for Stochastic_BB

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

• kilianFatras / variance_reduced_neural_networks
  Implementation of SVRG and SAGA optimization algorithms for deep learning topics.
  ☆72Updated 4 years ago
• duchi-lab / certifiable-distributional-robustness
  Certifying Some Distributional Robustness with Principled Adversarial Training (https://arxiv.org/abs/1710.10571)
  ☆45Updated 7 years ago
• optsuite / ARNT
  Adaptive Regularized Newton Method for Riemannian Optimization
  ☆30Updated 5 years ago
• jingcoco / Online-Kernel-Learning
  This is all the codes used in "Large Scale Online Kernel Learning"
  ☆11Updated 7 years ago
• jmdvinodjmd / LIBS2ML
  LIBS2ML: A Library for Scalable Second Order Machine Learning Algorithms
  ☆11Updated 3 years ago
• shaobohan / VariationalGaussianCopula
  Matlab Code for Variational Gaussian Copula Inference
  ☆16Updated 9 years ago
• git-xp / Non-Convex-Newton
  ☆15Updated 7 years ago
• OptMLGroup / SQN
  Sampled Quasi-Newton Methods for Deep Learning
  ☆22Updated 5 years ago
• OsmanMalik / tucker-tensorsketch
  Code for our NeurIPS 2018 paper titled "Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch"
  ☆25Updated 2 years ago
• timlautk / BCD-for-DNNs-PyTorch
  Code for Global Convergence of Block Coordinate Descent in Deep Learning (ICML 2019)
  ☆37Updated 5 years ago
• mingzhang-yin / SIVI
  A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…
  ☆54Updated 7 months ago
• hiroyuki-kasai / RSOpt
  Riemannian stochastic optimization algorithms: Version 1.0.3
  ☆65Updated 2 years ago
• ermongroup / sparse_gen
  Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018
  ☆24Updated 6 years ago
• wangshusen / RandMatrixMatlab
  simple MATLAB code for randomized matrix computation
  ☆23Updated 9 years ago
• jnhujnhu / VR-SGD
  A demo for VR-SGD(Comparing to some state-of-the-art algorithms).
  ☆13Updated 7 years ago
• ChunyuanLI / pSGLD
  AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)
  ☆35Updated 6 years ago
• mstaib / stochastic-barycenter-code
  Supporting code for "Parallel Streaming Wasserstein Barycenters"
  ☆10Updated 7 years ago
• audeg / StochasticOT
  Stochastic Optimization for Optimal Transport
  ☆22Updated 8 years ago
• smortezavi / Randomized_SVD_GPU
  Attempt to speed Randomized SVD(Singular Value Decomposition) Using pytorch and it's gnu capabilities.
  ☆17Updated 6 years ago
• liujl11git / multilevelOT
  MATLAB codes for multilevel optimal transport
  ☆25Updated 6 years ago
• thu-ml / fpovi
  Code for "Function Space Particle Optimization for Bayesian Neural Networks"
  ☆18Updated 2 years ago
• WayneDW / Bayesian-Sparse-Deep-Learning
  Code for An Adaptive Empirical Bayesian Method for Sparse Deep Learning (NeurIPS'19)
  ☆20Updated 4 years ago
• KaidiXu / ZO-minmax
  Zeroth-order Min-max Optimization
  ☆11Updated 4 years ago
• keskarnitish / minSQN
  Optimization using Stochastic quasi-Newton methods
  ☆43Updated 8 years ago
• IssamLaradji / BlockCoordinateDescent
  Code for the paper "Let’s Make Block Coordinate Descent Go Fast"
  ☆48Updated last year
• XtractOpen / Meganet.m
  A fresh approach to deep learning written in MATLAB
  ☆24Updated 2 years ago
• gowerrobert / StochOpt.jl
  A suite of stochastic optimization methods for solving the empirical risk minimization problem.
  ☆16Updated 5 years ago
• mingyan08 / PD3O
  This is the class in matlab for convex optimization algorithms
  ☆9Updated last year
• cambridge-mlg / SPVAE
  Tensorflow code for "Hierarchical Decompositional Mixtures of Variational Autoencoders" (ICML'19)
  ☆12Updated 4 years ago
• fmeirinhos / pytorch-hessianfree
  PyTorch implementation of Hessian Free optimisation
  ☆43Updated 5 years ago