Alternatives and similar repositories for bhtsne

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

• lferry007 / LargeVis
  ☆712Updated 2 years ago
• danielfrg / tsne
  A python wrapper for Barnes-Hut tsne
  ☆411Updated 2 years ago
• CuriousAI / ladder
  Ladder network is a deep learning algorithm that combines supervised and unsupervised learning
  ☆518Updated 8 years ago
• facebookarchive / fbpca
  Fast Randomized PCA/SVD
  ☆497Updated 6 years ago
• oreillymedia / t-SNE-tutorial
  A tutorial on the t-SNE learning algorithm
  ☆720Updated 9 years ago
• elbamos / largeVis
  An implementation of the largeVis algorithm for visualizing large, high-dimensional datasets, for R
  ☆340Updated 2 weeks ago
• kylemcdonald / Parametric-t-SNE
  Running parametric t-SNE by Laurens Van Der Maaten with Octave and oct2py.
  ☆266Updated 6 years ago
• JasperSnoek / spearmint
  Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…
  ☆1,394Updated 8 years ago
• pystruct / pystruct
  Simple structured learning framework for python
  ☆669Updated 4 years ago
• DmitryUlyanov / Multicore-TSNE
  Parallel t-SNE implementation with Python and Torch wrappers.
  ☆1,914Updated last year
• mila-iqia / fuel
  A data pipeline framework for machine learning
  ☆873Updated 3 years ago
• mims-harvard / nimfa
  Nimfa: Nonnegative matrix factorization in Python
  ☆556Updated 4 years ago
• tmadl / semisup-learn
  Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data
  ☆505Updated 4 years ago
• nitishsrivastava / deepnet
  Implementation of some deep learning algorithms.
  ☆896Updated 11 years ago
• karpathy / paper-notes
  Random notes on papers, likely a short-term repo.
  ☆699Updated 8 years ago
• dmlc / minpy
  NumPy interface with mixed backend execution
  ☆1,103Updated 7 years ago
• dpkingma / nips14-ssl
  Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"
  ☆515Updated 10 years ago
• btgraham / SparseConvNet-archived
  Spatially-sparse convolutional networks. Allows processing of sparse 2, 3 and 4 dimensional data.Build CNNs on the square/cubic/hypercubi…
  ☆406Updated 4 years ago
• cjlin1 / liblinear
  LIBLINEAR -- A Library for Large Linear Classification
  ☆1,041Updated 6 months ago
• y0ast / Variational-Autoencoder
  Implementation of a Variational Auto-Encoder in Theano
  ☆381Updated 8 years ago
• HIPS / Spearmint
  Spearmint Bayesian optimization codebase
  ☆1,559Updated 5 years ago
• scikit-learn-contrib / metric-learn
  Metric learning algorithms in Python
  ☆1,428Updated last year
• rinuboney / ladder
  Ladder network is a deep learning algorithm that combines supervised and unsupervised learning.
  ☆242Updated 8 years ago
• mnick / scikit-tensor
  Python library for multilinear algebra and tensor factorizations
  ☆406Updated 7 years ago
• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆597Updated 7 years ago
• balajiln / mondrianforest
  Code for Mondrian Forests (for classification and regression)
  ☆267Updated 9 years ago
• brendenlake / BPL
  Bayesian Program Learning model for one-shot learning
  ☆979Updated 9 years ago
• jaberg / hyperopt
  Distributed Asynchronous Hyperparameter Optimization in Python
  ☆515Updated 11 years ago
• benanne / kaggle-ndsb
  Winning solution for the National Data Science Bowl competition on Kaggle (plankton classification)
  ☆567Updated 10 years ago
• facebookresearch / pysparnn
  Approximate Nearest Neighbor Search for Sparse Data in Python!
  ☆920Updated 5 years ago