Alternatives and similar repositories for parametric_tsne

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

• distillpub / post--misread-tsne
  How to Use t-SNE Effectively
  ☆205Updated 7 years ago
• harveyslash / TSNE-UMAP-Embedding-Visualisation
  A Simple and easy to use way to Visualise Embeddings!
  ☆259Updated 3 years ago
• genekogan / image-tSNE
  example of t-SNE to fc7 activations of a convnet (keras + sklearn)
  ☆53Updated 9 years ago
• osdf / py_bh_tsne
  A python wrapper for Barnes-Hut tsne
  ☆61Updated 9 years ago
• mhamilton723 / tseries
  A library for time series analysis with sklearn.
  ☆82Updated 8 years ago
• zhegan27 / TSBN_code_NIPS2015
  The Matlab Code and the Supplementary Material for the NIPS 2015 paper "Deep Temporal Sigmoid Belief Networks for Sequence Modeling"
  ☆48Updated 9 years ago
• josejimenezluna / nnet-ts
  Neural network architecture for time series forecasting.
  ☆112Updated 8 years ago
• tensorflow / tfjs-tsne
  ☆317Updated 4 years ago
• zaburo-ch / Parametric-t-SNE-in-Keras
  a python implementation of Parametric t-SNE in Keras
  ☆60Updated 7 years ago
• CalculatedContent / tsvm
  experiments testing transductive svm for my blog posts
  ☆92Updated 11 years ago
• kylemcdonald / Parametric-t-SNE
  Running parametric t-SNE by Laurens Van Der Maaten with Octave and oct2py.
  ☆267Updated 6 years ago
• nicola-decao / s-vae-tf
  Tensorflow implementation of Hyperspherical Variational Auto-Encoders
  ☆236Updated 7 years ago
• yhenon / pyrcc
  Python implementation of Robust Continuous Clustering
  ☆106Updated 6 years ago
• edwardlib / observations
  Tools for loading standard data sets in machine learning
  ☆206Updated 3 years ago
• gpersistence / tstop
  Time-series topology data analysis tool suite (TS-TOP) and datasets for characterizing and classifying time-series data
  ☆42Updated 9 years ago
• kylemcdonald / Coloring-t-SNE
  Exploration of methods for coloring t-SNE.
  ☆218Updated 8 years ago
• fferroni / PhasedLSTM-Keras
  Keras implementation of Phased LSTM [https://arxiv.org/abs/1610.09513]
  ☆146Updated 5 years ago
• gradientinstitute / aboleth
  A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation
  ☆128Updated 4 years ago
• janvdvegt / KernelMixtureNetwork
  Kernel Mixture Network implementation with some minor tweaks
  ☆45Updated 8 years ago
• hiranumn / IntegratedGradients
  Python/Keras implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defin…
  ☆217Updated 7 years ago
• mgermain / MADE
  MADE: Masked Autoencoder for Distribution Estimation
  ☆104Updated 5 years ago
• gokceneraslan / neuralnet_countmodels
  Count models with TensorFlow and Keras
  ☆47Updated 7 years ago
• bstriner / bayesian_dense
  Bayesian Weight Uncertainty Dense Layer for Keras
  ☆47Updated 9 years ago
• EmilienDupont / vae-concrete
  Keras implementation of a Variational Auto Encoder with a Concrete Latent Distribution
  ☆51Updated 8 years ago
• tmadl / highdimensional-decision-boundary-plot
  Estimating and plotting the decision boundary (decision surface) of machine learning classifiers in higher dimensions (scikit-learn compa…
  ☆235Updated 2 years ago
• janvdvegt / tsetlin
  Tsetlin Machine
  ☆57Updated 7 years ago
• MaxBenChrist / tspreprocess
  A Python package to preprocess time series
  ☆63Updated 8 years ago
• cgnorthcutt / rankpruning
  🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.
  ☆83Updated 3 years ago
• martius-lab / l4-optimizer
  Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"
  ☆124Updated 6 years ago
• fastforwardlabs / vae-tf
  repository for the Variational Autoencoder (VAE) blogpost series from Fast Forward Labs
  ☆103Updated 8 years ago