Alternatives and similar repositories for Parallel-SGD

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

• NLPrinceton / sparse_recovery
  noiseless/nonnegative sparse recovery and feature retrieval via compressed sensing
  ☆38Updated 7 years ago
• cchangyou / Santa
  Code for the Santa algorithm for deep learning
  ☆17Updated 7 years ago
• bioinf-jku / librfn
  Rectified Factor Networks
  ☆38Updated 5 years ago
• npinto / asgd
  Averaged Stochastic Gradient Descent Classifiers
  ☆42Updated 13 years ago
• abietti / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 2 years ago
• huanzhang12 / hogwildpp
  HogWild++: A New Mechanism for Decentralized Asynchronous Stochastic Gradient Descent
  ☆33Updated 8 years ago
• Emaasit / long-range-extrapolation
  Capturing Structure Implicitly from Noisy Time-Series having Limited Data
  ☆1Updated 7 years ago
• hardmaru / cma
  Fork of cma-es library by Nikolaus Hansen
  ☆12Updated 8 years ago
• xzhren / DeepForest
  upgrade official version of gcForest v1.0.
  ☆21Updated 7 years ago
• usptact / ELM-C--
  Extreme Learning Machine - C++ library
  ☆33Updated 10 years ago
• criteo-research / tf-tile
  TF-Tile: an efficient sparse representation for real-valued data
  ☆14Updated 2 years ago
• ramkikannan / planc
  Distributed NMF/NTF Library
  ☆47Updated 7 months ago
• luguoqing / Diff-FSPM
  Mining Frequent Sequential Patterns under Differential Privacy
  ☆16Updated 11 years ago
• tjanez / PyMTL
  PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-lea…
  ☆44Updated 11 years ago
• walker7734 / Hogwild
  Parallelized SGD
  ☆12Updated 12 years ago
• chengsoonong / acton
  Active Learning: Predictors, Recommenders and Labellers
  ☆20Updated 2 years ago
• jakevdp / pypropack
  A python wrapper for the PROPACK library
  ☆51Updated 8 years ago
• michaelfarrell76 / Distributed-SGD
  Parallel SGD, done locally and remote
  ☆14Updated 9 years ago
• bmcfee / mlr
  Metric Learning to Rank
  ☆46Updated 11 years ago
• Networks-Learning / mlss-2016
  MLSS 2016 material.
  ☆22Updated 9 years ago
• davidhallac / NetworkADMM
  ☆9Updated 10 years ago
• BigBayes / SGRLD
  Stochastic Gradient Riemannian Langevin Dynamics
  ☆33Updated 10 years ago
• thierry-silbermann / libfm_python
  ☆10Updated 10 years ago
• stephenbeckr / SparsifiedKMeans
  KMeans for big data using preconditioning and sparsification, Matlab implementation. Aka k-means
  ☆59Updated 5 years ago
• deborausujono / crfocr
  Python implementation of Conditional Random Fields (CRF) for Optical Character Recognition (OCR)
  ☆7Updated 10 years ago
• automl / pysmac
  simple python interface to SMAC.
  ☆21Updated 7 years ago
• fabianp / group_lasso
  ☆39Updated 12 years ago
• chaitanya-m / kdd2018
  Files submitted to kdd2018 for EFDT paper
  ☆22Updated 6 years ago
• kd383 / GPML_SLD
  Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)
  ☆18Updated 7 years ago
• nitromannitol / stochastic-quasi-newton
  modular implementation of new algorithm
  ☆13Updated 11 years ago