Alternatives and similar repositories for SGD

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

• locuslab / newton_admm
  A Newton ADMM based solver for Cone programming.
  ☆39Updated 8 years ago
• muupan / deep-ensemble-uncertainty
  An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)
  ☆35Updated 8 years ago
• FurongHuang / ConvDicLearnTensorFactor
  Tensor methods have emerged as a powerful paradigm for consistent learning of many latent variable models such as topic models, independe…
  ☆17Updated 8 years ago
• stephenbeckr / SparsifiedKMeans
  KMeans for big data using preconditioning and sparsification, Matlab implementation. Aka k-means
  ☆59Updated 5 years ago
• zi-w / GP-EST
  Bayesian optimization with the Gaussian process assumption
  ☆30Updated 9 years ago
• mp4096 / adawhatever
  MATLAB implementation of AdaGrad, Adam, Adamax, Adadelta etc.
  ☆33Updated 5 years ago
• pengsun / MatlabCNN
  Matlab codes for 2D Convolutional Neural Network
  ☆49Updated 10 years ago
• zzhang1987 / HungarianBP
  The Hungarian-BP code in Paper "Pairwise Matching Through Max-Weight Bipartite Belief Propagation"
  ☆18Updated 9 years ago
• npinto / asgd
  Averaged Stochastic Gradient Descent Classifiers
  ☆42Updated 13 years ago
• tanmayshankar / RCNN_MDP
  Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.
  ☆69Updated 7 years ago
• wenli-vision / svmplus_matlab
  An implementation of SVM+
  ☆26Updated 9 years ago
• epfl-lts2 / pyunlocbox
  A Python convex optimization package using proximal splitting methods
  ☆116Updated last month
• DanielTakeshi / MCMC_and_Dynamics
  Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)
  ☆42Updated 5 years ago
• piotrmirowski / Tutorial_AutoEncoders
  Tutorial code for Auto-Encoders, implementing Marc'Aurelio Ranzato's Sparse Encoding Symmetric Machine and testing it on the MNIST handwr…
  ☆36Updated 11 years ago
• layumi / 2016_GAN_Matlab
  Generative Adversarial Nets for Matlab
  ☆36Updated 8 years ago
• stwisdom / sista-rnn
  Code for a recurrent neural network (RNN) created by unfolding the sequential ISTA (SISTA) algorithm for sequential sparse coding
  ☆14Updated 8 years ago
• snap-stanford / snapvx
  ☆65Updated 5 years ago
• ravidziv / Information-bottleneck
  Python implementation of the infomration bottleneck method (tishby et al, 1999)
  ☆36Updated 8 years ago
• kyunghyuncho / deepmat
  Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders
  ☆191Updated 10 years ago
• ppletscher / BCFWstruct
  Block-Coordinate Frank-Wolfe Optimization for Structural SVMs
  ☆26Updated 12 years ago
• anhncs / Probabilistic-Graphical-Models
  Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.
  ☆104Updated 12 years ago
• HUJI-Deep / Generative-ConvACs
  Experiments from the article "Tensorial Mixture Models"
  ☆25Updated 7 years ago
• rmgarnett / active_learning
  Active learning toolbox for MATLAB
  ☆46Updated 7 years ago
• lixilinx / psgd_tf
  Tensorflow implementation of preconditioned stochastic gradient descent
  ☆34Updated last year
• fabianp / hoag
  Hyperparameter optimization with approximate gradient
  ☆66Updated 4 years ago
• peiyunh / mat-vae
  A MATLAB implementation of Auto-Encoding Variational Bayes
  ☆46Updated 8 years ago
• yaringal / DropoutUncertaintyDemos
  What My Deep Model Doesn't Know...
  ☆116Updated 10 years ago
• jiayuzhou / MALSAR
  Multi-task learning via Structural Regularization
  ☆134Updated 4 years ago
• NLPrinceton / sparse_recovery
  noiseless/nonnegative sparse recovery and feature retrieval via compressed sensing
  ☆39Updated 7 years ago
• weilinear / PyRPCA
  Robust PCA in Python
  ☆36Updated 12 years ago