Alternatives and similar repositories for Multicore-TSNE:

Users that are interested in Multicore-TSNE are comparing it to the libraries listed below

• CannyLab / tsne-cuda
  GPU Accelerated t-SNE for CUDA with Python bindings
  ☆1,850Updated 6 months ago
• pavlin-policar / openTSNE
  Extensible, parallel implementations of t-SNE
  ☆1,516Updated 5 months ago
• scikit-learn-contrib / metric-learn
  Metric learning algorithms in Python
  ☆1,414Updated 8 months ago
• lvdmaaten / bhtsne
  Barnes-Hut t-SNE
  ☆899Updated 3 years ago
• maxpumperla / hyperas
  Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
  ☆2,180Updated 2 years ago
• kaz-Anova / StackNet
  StackNet is a computational, scalable and analytical Meta modelling framework
  ☆1,319Updated 6 years ago
• skorch-dev / skorch
  A scikit-learn compatible neural network library that wraps PyTorch
  ☆6,005Updated last week
• TeamHG-Memex / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆2,769Updated 2 years ago
• ContextLab / hypertools
  A Python toolbox for gaining geometric insights into high-dimensional data
  ☆1,841Updated last year
• scikit-learn-contrib / hdbscan
  A high performance implementation of HDBSCAN clustering.
  ☆2,898Updated 2 months ago
• scikit-multilearn / scikit-multilearn
  A scikit-learn based module for multi-label et. al. classification
  ☆931Updated last year
• oreillymedia / t-SNE-tutorial
  A tutorial on the t-SNE learning algorithm
  ☆717Updated 8 years ago
• scikit-learn-contrib / imbalanced-learn
  A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
  ☆6,968Updated this week
• lferry007 / LargeVis
  ☆712Updated last year
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,764Updated last year
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,621Updated 3 weeks ago
• hyperopt / hyperopt
  Distributed Asynchronous Hyperparameter Optimization in Python
  ☆7,385Updated 2 months ago
• reiinakano / scikit-plot
  An intuitive library to add plotting functionality to scikit-learn objects.
  ☆2,432Updated 7 months ago
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆853Updated last year
• probtorch / probtorch
  Probabilistic Torch is library for deep generative models that extends PyTorch
  ☆887Updated 11 months ago
• danielfrg / tsne
  A python wrapper for Barnes-Hut tsne
  ☆410Updated 2 years ago
• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆593Updated 6 years ago
• scikit-learn-contrib / category_encoders
  A library of sklearn compatible categorical variable encoders
  ☆2,437Updated 3 weeks ago
• lmcinnes / umap
  Uniform Manifold Approximation and Projection
  ☆7,715Updated last month
• nitrain / nitrain
  Train AI models efficiently on medical images using any framework
  ☆1,874Updated 10 months ago
• tmadl / semisup-learn
  Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data
  ☆502Updated 3 years ago
• andosa / treeinterpreter
  ☆757Updated last year
• jmschrei / pomegranate
  Fast, flexible and easy to use probabilistic modelling in Python.
  ☆3,429Updated last month
• williamFalcon / test-tube
  Python library to easily log experiments and parallelize hyperparameter search for neural networks
  ☆735Updated 2 years ago
• pgmpy / pgmpy
  Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
  ☆2,865Updated this week