Alternatives and similar repositories for VR-SGD:

Users that are interested in VR-SGD are comparing it to the libraries listed below

• mstaib / stochastic-barycenter-code
  Supporting code for "Parallel Streaming Wasserstein Barycenters"
  ☆10Updated 7 years ago
• kilianFatras / variance_reduced_neural_networks
  Implementation of SVRG and SAGA optimization algorithms for deep learning topics.
  ☆72Updated 4 years ago
• jingcoco / Online-Kernel-Learning
  This is all the codes used in "Large Scale Online Kernel Learning"
  ☆11Updated 7 years ago
• hiroyuki-kasai / RSOpt
  Riemannian stochastic optimization algorithms: Version 1.0.3
  ☆64Updated 2 years ago
• cciliber / matMTL
  Multi Task Learning Package for Matlab
  ☆21Updated 5 years ago
• PotatoThanh / ADMM-NeuralNetworks
  Training Neural Networks Without Gradients: A ADMM Approach
  ☆42Updated 6 years ago
• unc-optimization / StochasticProximalMethods
  A collection of stochastic proximal gradient methods for composite non-convex problems.
  ☆20Updated 4 years ago
• roosephu / deep_matrix_factorization
  Code for Implicit Regularization in Deep Matrix Factorization.
  ☆35Updated 8 months ago
• git-xp / Non-Convex-Newton
  ☆15Updated 7 years ago
• wangshusen / RandMatrixMatlab
  simple MATLAB code for randomized matrix computation
  ☆23Updated 9 years ago
• ToniCreswell / DAAE_
  Denoising Adversairal Autoencoders
  ☆40Updated 7 years ago
• xwcao / LowRankTRN
  Code for the paper "Tensor Regression Networks with various Low-Rank Tensor Approximations"
  ☆35Updated 7 years ago
• neale / HyperGAN
  Generative Model for Neural Networks
  ☆24Updated 4 years ago
• kbatseli / TTr1SVD
  Tensor Train Rank-1 decomposition
  ☆19Updated 5 years ago
• wukailun / GLISTA
  source code of GLISTA
  ☆23Updated 5 years ago
• quanmingyao / FaNCL
  Fast Low-Rank Matrix Learning with Nonconvex Regularization. Matlab Code
  ☆22Updated 5 years ago
• prolearner / hyper-representation
  This is the official repo for the experiments in the paper "Bilevel Programming for Hyperparameter Optimization and Meta-Learning"
  ☆30Updated 6 years ago
• xuanqing94 / BayesianDefense
  Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network
  ☆62Updated 5 years ago
• xiaojiew94 / KDGAN
  ☆37Updated 2 years ago
• JoonyoungYi / MCAM-numpy
  Low-rank Matrix Completion using Alternating Minimization
  ☆23Updated 6 years ago
• qiangsiwei / tensor_tools
  张量分解算法整理
  ☆62Updated 9 years ago
• huangleiBuaa / OthogonalWN
  This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonali…
  ☆57Updated 5 years ago
• Ivan1248 / Parseval-networks
  An (imperfect) implementation of wide resnets and Parseval regularization
  ☆9Updated 4 years ago
• davidhallac / NetworkLasso
  ☆22Updated 9 years ago
• ravidziv / Information-bottleneck
  Python implementation of the infomration bottleneck method (tishby et al, 1999)
  ☆36Updated 7 years ago
• oscarmickelin / tensor-ring-decomposition
  ☆33Updated 3 years ago
• mikigom / large-scale-OT-mapping-TF
  Tensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(ICLR2018/NIPS 2017 OTML)
  ☆19Updated 6 years ago
• moonfolk / Multilevel-Wasserstein-Means
  ☆22Updated 2 years ago
• ChunyuanLI / pSGLD
  AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)
  ☆35Updated 6 years ago
• zs-zhong / D-LADMM
  The code for Differentiable Linearized ADMM (ICML 2019)
  ☆36Updated 5 years ago