Alternatives and similar repositories for libORF

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

• paulbertens / rank-ordered-autoencoder
  Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749
  ☆33Updated 9 years ago
• bioinf-jku / librfn
  Rectified Factor Networks
  ☆37Updated 6 years ago
• tyler-tomita / RandomerForest
  Discriminant Projection Forest results, datasets, etc.
  ☆44Updated 6 years ago
• RobinKa / gsdr
  Generative Sparse Distributed Representations, a fast generative model written in Python (Original C++ implementation https://github.com/…
  ☆24Updated 9 years ago
• diogo149 / treeano
  more composable than other neural network libraries
  ☆42Updated 9 years ago
• kastnerkyle / SciPy2015
  Talk for SciPy2015 "Deep Learning: Tips From The Road"
  ☆44Updated 10 years ago
• DeepLearningDTU / nvidia_deep_learning_summercamp_2016
  Lasagne / Theano tutorials for Nvidia Deep Learning Summercamp 2016
  ☆26Updated 9 years ago
• felixlaumon / nolearn_utils
  Utilities for nolearn.lasagne
  ☆21Updated 8 years ago
• galinngeorgiev / ACE
  code referenced in "Towards universal neural nets: Gibbs machines and ACE", Galin Georgiev, http://arxiv.org/abs/1508.06585
  ☆14Updated 10 years ago
• mvitez / OpenBLAS-conv
  Convolution implementation with on the fly Toeplitz matrix generation.
  ☆11Updated 9 years ago
• carpedm20 / RCMN
  Recurrent Convolutional Memory Network (in progress)
  ☆28Updated 9 years ago
• banilo / nips2015
  ☆14Updated 9 years ago
• yaoli / nade_k
  An iterative neural autoregressive distribution estimator (NADE-K)
  ☆26Updated 11 years ago
• apark263 / cfmz
  ☆55Updated 9 years ago
• petered / spiking-mlp
  A Spiking Multi-Layer Perceptron
  ☆33Updated 8 years ago
• Avmb / lowrank-highwaynetwork
  Low-rank Highway Networks
  ☆13Updated 9 years ago
• soumith / deep_gitstats
  Based on SciPy's normalized git stats, adapted for Deep Learning frameworks
  ☆16Updated 8 years ago
• vfleaking / rnnprop
  RNNprop
  ☆36Updated 8 years ago
• AgnezIO / agnez
  Analytics for Deep Learning projects.
  ☆49Updated 9 years ago
• mbhenaff / spectral-lib
  ☆44Updated 9 years ago
• rodrigosetti / dbn-cuda
  GPU accelerated Deep Belief Network
  ☆47Updated 10 years ago
• cornelltech / snack
  Stochastic Neighbor and Crowd Kernel (SNaCK) embeddings: Quick and dirty visualization of large-scale datasets via concept embeddings
  ☆50Updated 2 years ago
• jngiam / sparseFiltering
  Sparse Filtering
  ☆219Updated 14 years ago
• nicholas-leonard / drmad
  Hyper-parameter Optimization with DrMAD and Hypero
  ☆23Updated 9 years ago
• jaberg / DeepLearningBenchmarks
  ☆73Updated 13 years ago
• lucastheis / cmt
  Fast CPU implementations of several conditional probabilistic models
  ☆37Updated 2 years ago
• deeplearningparis / dl-rnn
  Recurrent Deep Learning Tutorials and examples: RNN, GRU, LSTM
  ☆55Updated 10 years ago
• craffel / Lasagne-tutorial
  Adding an ipynb tutorial to Lasagne
  ☆53Updated 8 years ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆33Updated 9 years ago
• yaolubrain / DOSNES
  Doubly Stochastic Neighbor Embedding on Spheres
  ☆60Updated 6 years ago