Alternatives and similar repositories for cumf_als

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

• cuMF / cumf_sgd
  CUDA Matrix Factorization Library with Stochastic Gradient Descent (SGD)
  ☆71Updated 7 years ago
• ibayer / fastFM-core
  A short paper describing the library is available on arXiv.
  ☆65Updated 7 years ago
• dmlc / difacto
  Distributed Factorization Machines
  ☆298Updated 9 years ago
• mblondel / svmlight-loader
  Fast and memory-efficient svmlight / libsvm file loader for Python.
  ☆117Updated 6 years ago
• cjlin1 / libmf
  ☆204Updated last year
• markusweimer / cofirank
  CofiRank
  ☆57Updated 12 years ago
• IntelLabs / pWord2Vec
  Parallelizing word2vec in shared and distributed memory
  ☆191Updated 2 years ago
• sailing-pmls / pmls-caffe
  PMLS-Caffe: Distributed Deep Learning Framework for Parallel ML System
  ☆193Updated 7 years ago
• thomaskeck / FastBDT
  Stochastic Gradient Boosted Decision Trees as Standalone, TMVAPlugin and Python-Interface
  ☆247Updated 5 years ago
• ryanrhymes / panns
  Python Approximate Nearest Neighbor Search in very high dimensional spaces with optimised indexing.
  ☆215Updated 4 years ago
• plofgren / bidirectional-random-walk
  Random Walk (Personalized PageRank) Algorithms for Large Graphs
  ☆73Updated 9 years ago
• yahoo / SparkADMM
  Generic Implementation of Consensus ADMM over Spark
  ☆84Updated 9 years ago
• obachem / kmc2
  Cython implementation of k-MC2 and AFK-MC2 seeding
  ☆205Updated 4 years ago
• rambler-digital-solutions / criteo-1tb-benchmark
  Benchmark of different ML algorithms on Criteo 1TB dataset
  ☆151Updated 8 years ago
• dmlc / experimental-lda
  ☆127Updated 9 years ago
• mazefeng / lightmf
  A light-weight matrix factorization tool
  ☆39Updated 7 years ago
• shravanmn / Yahoo_LDA
  Yahoo!'s topic modelling framework using Latent Dirichlet Allocation
  ☆98Updated 14 years ago
• RUSH-LAB / Flash
  LSH-GPU ANN package
  ☆94Updated 6 years ago
• xdata-skylark / libskylark
  Sketching-based Distributed Matrix Computations for Machine Learning
  ☆100Updated 7 years ago
• whatupbiatch / cuda-word2vec
  cuda implementation of CBOW model (word2vec)
  ☆117Updated 11 years ago
• linkedin / ml-ease
  ADMM based large scale logistic regression
  ☆336Updated last year
• kopopt / fast_tffm
  fast_tffm: Tensorflow-based Distributed Factorization Machine
  ☆141Updated 8 years ago
• automl / HPOlib
  HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization pac…
  ☆166Updated 7 years ago
• hpclab / quickrank
  Official repository of QuickRank: A C++ suite of Learning to Rank algorithms.
  ☆131Updated 6 years ago
• baidu / fast_rgf
  Multi-core implementation of Regularized Greedy Forest
  ☆466Updated 7 years ago
• FurongHuang / spectrallda-tensorspark
  Quick summary: This code implements a spectral (third order tensor decomposition) learning method for learning LDA topic model on Spark.
  ☆105Updated 7 years ago
• rjagerman / glintlda
  Scalable Distributed LDA implementation for Spark & Glint
  ☆29Updated 9 years ago
• matex-org / matex
  Machine Learning Toolkit for Extreme Scale (MaTEx)
  ☆112Updated 7 years ago
• premgopalan / hgaprec
  Scalable Recommendation with Hierarchical Poisson Factorization P Gopalan, JM Hofman, DM Blei UAI, 326-335
  ☆55Updated 10 years ago
• zhangyuc / splash
  Splash Project for parallel stochastic learning
  ☆94Updated 8 years ago