Alternatives and similar repositories for metric-learn

Users that are interested in metric-learn are comparing it to the libraries listed below

• scikit-multilearn / scikit-multilearn
  A scikit-learn based module for multi-label et. al. classification
  ☆948Updated last year
• tmadl / semisup-learn
  Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data
  ☆504Updated 3 years ago
• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆594Updated 7 years ago
• kingfengji / gcForest
  This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
  ☆1,312Updated 4 years ago
• annoviko / pyclustering
  pyclustering is a Python, C++ data mining library.
  ☆1,197Updated last year
• jundongl / scikit-feature
  open-source feature selection repository in python
  ☆1,550Updated last year
• alvinwan / neural-backed-decision-trees
  Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
  ☆622Updated 2 years ago
• benhamner / Metrics
  Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
  ☆1,643Updated 2 years ago
• lferry007 / LargeVis
  ☆715Updated 2 years ago
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,643Updated 5 months ago
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆860Updated last year
• tobegit3hub / advisor
  Open-source implementation of Google Vizier for hyper parameters tuning
  ☆1,561Updated 5 years ago
• HunterMcGushion / hyperparameter_hunter
  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
  ☆708Updated 4 years ago
• probtorch / probtorch
  Probabilistic Torch is library for deep generative models that extends PyTorch
  ☆890Updated last year
• DmitryUlyanov / Multicore-TSNE
  Parallel t-SNE implementation with Python and Torch wrappers.
  ☆1,914Updated last year
• NUAA-AL / ALiPy
  ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze t…
  ☆885Updated last month
• pavlin-policar / openTSNE
  Extensible, parallel implementations of t-SNE
  ☆1,555Updated last month
• google / active-learning
  ☆1,162Updated 2 years ago
• google-research / mixmatch
  ☆1,143Updated 2 years ago
• thu-ml / zhusuan
  A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
  ☆2,223Updated 2 years ago
• automl / HpBandSter
  a distributed Hyperband implementation on Steroids
  ☆618Updated 2 years ago
• marcotcr / anchor
  Code for "High-Precision Model-Agnostic Explanations" paper
  ☆807Updated 3 years ago
• iskandr / fancyimpute
  Multivariate imputation and matrix completion algorithms implemented in Python
  ☆1,279Updated last year
• andosa / treeinterpreter
  ☆759Updated 2 years ago
• ntucllab / libact
  Pool-based active learning in Python
  ☆788Updated 4 months ago
• reiinakano / scikit-plot
  An intuitive library to add plotting functionality to scikit-learn objects.
  ☆2,437Updated last year
• oreillymedia / t-SNE-tutorial
  A tutorial on the t-SNE learning algorithm
  ☆720Updated 8 years ago
• nitrain / nitrain
  Train AI models efficiently on medical images using any framework
  ☆1,873Updated last year
• danielfrg / tsne
  A python wrapper for Barnes-Hut tsne
  ☆411Updated 2 years ago
• lopusz / awesome-interpretable-machine-learning
  ☆917Updated 2 years ago