kuleshov / tensor-factorization

Related projects ⓘ

Alternatives and complementary repositories for tensor-factorization

• blei-lab / zero-inflated-embedding
  Code for the icml paper "zero inflated exponential family embedding"
  ☆29Updated 7 years ago
• blei-lab / DynamicPoissonFactorization
  Dynamic version of Poisson Factorization (dPF). dPF captures the changing interest of users and the evolution of items over time accordin…
  ☆49Updated 8 years ago
• stitchfix / NTFLib
  Sparse Beta-Divergence Tensor Factorization Library
  ☆47Updated 9 years ago
• Networks-Learning / mlss-2016
  MLSS 2016 material.
  ☆22Updated 8 years ago
• mariru / exponential_family_embeddings
  Bernoulli Embeddings for Text
  ☆83Updated 7 years ago
• Bihaqo / exp-machines
  Exponential Machines implementation
  ☆40Updated 7 years ago
• yaoli / nade_k
  An iterative neural autoregressive distribution estimator (NADE-K)
  ☆26Updated 10 years ago
• premgopalan / bnprec
  Gopalan, P., Ruiz, F. J., Ranganath, R., & Blei, D. M. (2014). Bayesian Nonparametric Poisson Factorization for Recommendation Systems. I…
  ☆15Updated 10 years ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆31Updated 8 years ago
• vsuriya93 / Deep-Learning-for-Graph-Representations
  This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request
  ☆33Updated 7 years ago
• DeepLearningDTU / Summerschool_2015
  Deep Learning DTU summer school 2015
  ☆22Updated 8 years ago
• zhegan27 / dpfa_icml2015
  The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"
  ☆19Updated 9 years ago
• pmineiro / randembed
  Randomized embeddings for extreme learning
  ☆24Updated 9 years ago
• nitromannitol / stochastic-quasi-newton
  modular implementation of new algorithm
  ☆13Updated 10 years ago
• aschein / bptd
  Bayesian Poisson Tucker decomposition
  ☆17Updated 7 years ago
• popcorncolonel / tensor_decomp_embedding
  Word embedding via tensor decomposition.
  ☆22Updated 6 years ago
• mfaruqui / sparse-coding
  Parallel (asynchronous) sparse coding implementation for obtaining sparse overcomplete word vectors
  ☆54Updated 7 years ago
• Ian09 / SupervisedDeepDocNADE
  A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data, TPAMI, http://arxiv.org/abs/1409.3970
  ☆41Updated 9 years ago
• trungngv / gpfm
  Gaussian Process Factorization Machines for Context-aware Recommendations
  ☆42Updated 9 years ago
• jmhessel / BasicSpearmint
  A simple tool for small scale experiments using bayesian optimization
  ☆35Updated 6 years ago
• ajbc / spf
  Social Poisson Factorization
  ☆26Updated 5 years ago
• casmls / casmls.github.io
  Columbia Advanced Machine Learning Seminar
  ☆24Updated 6 years ago
• cgnorthcutt / rankpruning
  🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.
  ☆82Updated 2 years ago
• evfro / TensorGlue
  Tensor-based recommender system that incorporates categorical contextual information into collaborative filtering workflow.
  ☆26Updated 8 years ago
• dongwookim-ml / topic-model-lecture-note
  lecture notes for probabilistic topic models using ipython notebook
  ☆22Updated 9 years ago
• franrruiz / p-emb
  Exponential family embeddings (Poisson or Bernoulli) for discrete data
  ☆32Updated 5 years ago
• nukui-s / tffactorization
  Implementations of matrix factorization or tensor factorization algorithms
  ☆32Updated 8 years ago
• stwisdom / urnn
  Code for paper "Full-Capacity Unitary Recurrent Neural Networks"
  ☆55Updated 7 years ago
• lucastheis / cmt
  Fast CPU implementations of several conditional probabilistic models
  ☆36Updated last year