Alternatives and similar repositories for nmf-cuda:

Users that are interested in nmf-cuda are comparing it to the libraries listed below

• ejhumphrey / icml16-dml
  Deep Manifold Learning on Music Audio
  ☆35Updated 8 years ago
• bioinfo-cnb / bionmf-gpu
  NMF-mGPU web site:
  ☆27Updated 9 years ago
• MatthieuCourbariaux / AdversarialGradient
  A very simple variant of adversarial training that yields excellent results on MNIST
  ☆12Updated 9 years ago
• lucastheis / cmt
  Fast CPU implementations of several conditional probabilistic models
  ☆36Updated last year
• omangin / multimodal
  A set of tools and experimental scripts used to achieve multimodal learning with nonnegative matrix factorization (NMF).
  ☆18Updated 8 years ago
• lucastheis / ride
  Code for the recurrent image density estimator
  ☆29Updated 9 years ago
• ycemsubakan / diagonal_rnns
  This is the code used in the paper "Diagonal RNNs in Symbolic Music Modeling"
  ☆17Updated 8 years ago
• kuleshov / tensor-factorization
  Tensor Factorization via Matrix Factorization
  ☆34Updated 9 years ago
• mfaruqui / sparse-coding
  Parallel (asynchronous) sparse coding implementation for obtaining sparse overcomplete word vectors
  ☆53Updated 7 years ago
• mbhenaff / spectral-lib
  ☆45Updated 9 years ago
• che-shr-cat / currennt
  CURRENNT -- CUDA-enabled machine learning library for recurrent neural network
  ☆16Updated 5 years ago
• redpony / cpyp
  C++ library for modeling with Pitman-Yor processes
  ☆34Updated 7 years ago
• soumith / cuda-convnet2.torch
  Torch7 bindings for cuda-convnet2 kernels!
  ☆40Updated 8 years ago
• benanne / kaggle-whales
  code for the Whale Detection Challenge competition on Kaggle
  ☆40Updated 12 years ago
• mrkulk / SparseAutoEncoder
  SparseAutoEncoder - Unsupervised Learning
  ☆14Updated 12 years ago
• fraenkel-lab / GSLR
  An algorithm for classification from a graph-sparse support
  ☆15Updated 6 years ago
• willfrey / audio
  Datasets and Transforms specific to ASR
  ☆18Updated 8 years ago
• nicholas-leonard / drmad
  Hyper-parameter Optimization with DrMAD and Hypero
  ☆23Updated 8 years ago
• abhishek-kumar / NNForMLL
  Neural Network Models for Multi-label learning
  ☆17Updated 4 years ago
• craffel / lstm_benchmarks
  Benchmarking different LSTM libraries
  ☆24Updated 9 years ago
• hunterlang / mpmz
  miniplaces2 deep residual network in neon
  ☆16Updated 9 years ago
• Avmb / lowrank-gru
  Gated Recurrent Unit with Low-rank matrix factorization
  ☆34Updated 9 years ago
• jiwoongim / ft-SNE
  f-divergence based t-SNE
  ☆16Updated 2 years ago
• stephenbalaban / convnet
  ☆14Updated 10 years ago
• mkolod / mxnet_seq2seq
  Simple MXNet sequence-to-sequence model (neural machine translation)
  ☆24Updated 7 years ago
• hycis / transfer_learning
  Mozi, Transfer Learning, Multi-Modal Learning, Theano
  ☆27Updated 9 years ago
• yaoli / nade_k
  An iterative neural autoregressive distribution estimator (NADE-K)
  ☆26Updated 10 years ago
• facebookresearch / TPRNN
  TargetProp for RNNs
  ☆27Updated 6 years ago
• stakok / lmspn
  Language Modeling with Sum-Product Networks
  ☆20Updated 10 years ago
• ebattenberg / ggmm
  Python module to train GMMs using CUDA
  ☆22Updated 7 years ago