Alternatives and similar repositories for TSBN_code_NIPS2015:

Users that are interested in TSBN_code_NIPS2015 are comparing it to the libraries listed below

• genekogan / image-tSNE
  example of t-SNE to fc7 activations of a convnet (keras + sklearn)
  ☆53Updated 8 years ago
• osdf / py_bh_tsne
  A python wrapper for Barnes-Hut tsne
  ☆60Updated 8 years ago
• giancds / tsf_nmt
  Experiments recreating the Neural Machine Translation experiments with bidirectional encoder and attention modules.
  ☆54Updated 8 years ago
• jsilter / parametric_tsne
  Python / Tensorflow / Keras implementation of Parametric tSNE algorithm
  ☆153Updated last year
• janvdvegt / tsetlin
  Tsetlin Machine
  ☆53Updated 6 years ago
• awjuliani / 3D-TSNE
  A Unity project for visualizing t-SNE data in 3D.
  ☆74Updated 8 years ago
• tambetm / TSCL
  Teacher-Student Curriculum Learning code
  ☆76Updated 7 years ago
• fedden / umap_tsne_embedding_visualiser
  ☆65Updated 7 years ago
• CalculatedContent / tsvm
  experiments testing transductive svm for my blog posts
  ☆88Updated 10 years ago
• gpersistence / tstop
  Time-series topology data analysis tool suite (TS-TOP) and datasets for characterizing and classifying time-series data
  ☆41Updated 8 years ago
• jeffThompson / Word2VecAndTsne
  Scripts demo-ing how to train a Word2Vec model and reduce its vector space
  ☆47Updated 7 years ago
• 222464 / TsetlinMachine
  An implementation of the Tsetlin machine in C++
  ☆61Updated 6 years ago
• mhamilton723 / tseries
  A library for time series analysis with sklearn.
  ☆80Updated 7 years ago
• gngdb / variational-dropout
  Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.
  ☆33Updated 7 years ago
• anirudh9119 / LM_GANS
  Professor Forcing, NIPS'16
  ☆46Updated 7 years ago
• princeton-vl / px2graph
  Training code for "Pixels to Graphs by Associative Embedding"
  ☆134Updated 6 years ago
• TENGBINN / Bayes-by-Backprop
  TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper
  ☆51Updated 6 years ago
• casperkaae / LVAE
  Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"
  ☆100Updated 8 years ago
• lrjconan / deep_parsimonious
  Learning Deep Parsimonious Representations, Deep Learning, Clustering, NIPS 2016
  ☆14Updated 5 years ago
• y0ast / VIMCO
  Implementation of "Variational Inference for Monte Carlo Objectives"
  ☆21Updated 4 years ago
• Qwlouse / Binding
  Code for the "Binding via Reconstruction Clustering" paper
  ☆21Updated 9 years ago
• mdenil / acdc-torch
  ACDC: A Structured Efficient Linear Layer
  ☆43Updated 9 years ago
• DLHacks / SRU
  The Statistical Recurrent Unit in Pytorch
  ☆33Updated 7 years ago
• ml-lab / auxiliary-deep-generative-models
  Implementation of auxiliary deep generative models for semi-supervised learning
  ☆28Updated 9 years ago
• donghyunlee / dtp
  ☆36Updated 9 years ago
• jhjacobsen / HierarchicalCNN
  ☆29Updated 7 years ago
• jbornschein / bihm
  Bidirectional Helmholtz Machines
  ☆41Updated 9 years ago
• thuyen / signal
  Signal Processing Library for PyTorch
  ☆38Updated 7 years ago
• cjratcliff / variational-dropout
  TensorFlow implementation of the method from Variational Dropout Sparsifies Deep Neural Networks, Molchanov et al. (2017)
  ☆16Updated 7 years ago
• renmengye / meta-optim-public
  Understanding Short-Horizon Bias in Stochastic Meta-Optimization
  ☆37Updated 6 years ago