Alternatives and similar repositories for LION-tSNE:

Users that are interested in LION-tSNE are comparing it to the libraries listed below

• allentran / graph2vec
  Theano implementation of GloVe for graphs
  ☆46Updated 9 years ago
• jwittenbach / aws-tensorflow-setup
  Install TensorFlow on AWS GPU-instance
  ☆28Updated 8 years ago
• stitchfix / NTFLib
  Sparse Beta-Divergence Tensor Factorization Library
  ☆48Updated 9 years ago
• DeloitteHux-Old / proficiency-metric
  ☆28Updated 8 years ago
• shawnLeeZX / akid
  akid is a python package written for doing research in Neural Network.
  ☆14Updated last year
• glouppe / talk-pydata2015
  Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015
  ☆50Updated 9 years ago
• ofirnachum / uncertainty_gbm
  Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data
  ☆26Updated 8 years ago
• keplr-io / picard
  Easily declare large spaces of (keras) neural networks and run (hyperopt) optimization experiments on them.
  ☆52Updated 8 years ago
• zlosa / TPOT_Kaggle
  Datasets and notebooks
  ☆13Updated 8 years ago
• gallmerci / bico
  BICO is a fast streaming algorithm and reduction technique for the k-means problem. It is a python implementation of the original code fr…
  ☆38Updated 6 years ago
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 6 years ago
• RobeDM / LIBIRWLS
  A parallel IRWLS library to solve SVMs and budgeted SVMs
  ☆59Updated 7 years ago
• DeepLearningDTU / nvidia_deep_learning_summercamp_2016
  Lasagne / Theano tutorials for Nvidia Deep Learning Summercamp 2016
  ☆26Updated 8 years ago
• abhishekkrthakur / automl_gpu
  ☆25Updated 8 years ago
• BenjaminBossan / mink
  A neural network library based on tensorflow and with true sklearn compatibility.
  ☆11Updated 8 years ago
• gregversteeg / discrete_sieve
  The information sieve for discrete variables.
  ☆36Updated 8 years ago
• MLWave / normalized-compression-neighbors
  Document or binary file vectorization with Normalized Compression Distance in Python.
  ☆17Updated 9 years ago
• cornelltech / snack
  Stochastic Neighbor and Crowd Kernel (SNaCK) embeddings: Quick and dirty visualization of large-scale datasets via concept embeddings
  ☆50Updated last year
• rosinality / knotter
  Implementation of Mapper algorithm for Topological Data Analysis
  ☆45Updated 4 years ago
• ejhumphrey / icml16-dml
  Deep Manifold Learning on Music Audio
  ☆35Updated 8 years ago
• teonite / convnet-filter
  Convolutional neural networks as an answer to image scaling issues
  ☆18Updated 9 years ago
• sujitpal / intro-dl-talk-code
  Jupyter notebooks and code for Intro to DL talk at Genesys
  ☆14Updated 8 years ago
• spro / RARNN
  Recursive application of recurrent neural networks, for hierarchical intent parsing
  ☆58Updated 7 years ago
• pg2455 / U.S-Presidential-Speeches
  Textual Analysis of speeches using Google's Word2Vec Model
  ☆31Updated 4 years ago
• sbarratt / nips2017
  ☆14Updated 7 years ago
• baraldilorenzo / DL_tutorials
  ☆14Updated 9 years ago
• albietz / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 2 years ago
• tmadl / sklearn-interpretable-tree
  Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)
  ☆47Updated 4 years ago
• zygmuntz / kaggle-burn-cpu
  Code for the "Burn CPU, burn" competition at Kaggle. Uses Extreme Learning Machines and hyperopt.
  ☆33Updated 10 years ago
• amueller / advanced-sklearn-boston-nlp-2016
  Material and slides for Boston NLP meetup May 23rd 2016
  ☆17Updated 8 years ago