Alternatives and similar repositories for metric-learn

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

• tmadl / semisup-learn
  Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data
  ☆503Updated 3 years ago
• jundongl / scikit-feature
  open-source feature selection repository in python
  ☆1,539Updated 10 months ago
• scikit-multilearn / scikit-multilearn
  A scikit-learn based module for multi-label et. al. classification
  ☆933Updated last year
• kingfengji / gcForest
  This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
  ☆1,310Updated 4 years ago
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆855Updated last year
• benhamner / Metrics
  Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
  ☆1,636Updated 2 years ago
• Xtra-Computing / thundergbm
  ThunderGBM: Fast GBDTs and Random Forests on GPUs
  ☆699Updated last month
• lferry007 / LargeVis
  ☆713Updated last year
• tobegit3hub / advisor
  Open-source implementation of Google Vizier for hyper parameters tuning
  ☆1,557Updated 5 years ago
• EpistasisLab / scikit-rebate
  A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
  ☆418Updated 2 years ago
• ContextLab / hypertools
  A Python toolbox for gaining geometric insights into high-dimensional data
  ☆1,847Updated 3 weeks ago
• cemoody / topicsne
  t-SNE experiments in pytorch
  ☆477Updated 2 years ago
• bnu-wangxun / Deep_Metric
  Deep Metric Learning
  ☆780Updated 4 years ago
• scikit-learn-contrib / scikit-learn-contrib
  scikit-learn compatible projects
  ☆410Updated last month
• ntucllab / libact
  Pool-based active learning in Python
  ☆785Updated 3 weeks ago
• MLWave / Kaggle-Ensemble-Guide
  Code for the Kaggle Ensembling Guide Article on MLWave
  ☆1,578Updated 7 years ago
• AmazaspShumik / sklearn-bayes
  Python package for Bayesian Machine Learning with scikit-learn API
  ☆517Updated 3 years ago
• dialnd / imbalanced-algorithms
  Python-based implementations of algorithms for learning on imbalanced data.
  ☆238Updated 3 years ago
• scikit-learn-contrib / DESlib
  A Python library for dynamic classifier and ensemble selection
  ☆488Updated last year
• modAL-python / modAL
  A modular active learning framework for Python
  ☆2,283Updated last year
• entron / entity-embedding-rossmann
  ☆873Updated 5 years ago
• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆593Updated 6 years ago
• DmitryUlyanov / Multicore-TSNE
  Parallel t-SNE implementation with Python and Torch wrappers.
  ☆1,902Updated last year
• google / active-learning
  ☆1,152Updated 2 years ago
• andosa / treeinterpreter
  ☆759Updated last year
• kohpangwei / influence-release
  ☆792Updated 4 years ago
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,770Updated last year
• reiinakano / scikit-plot
  An intuitive library to add plotting functionality to scikit-learn objects.
  ☆2,434Updated 8 months ago
• pytorch / tnt
  A lightweight library for PyTorch training tools and utilities
  ☆1,695Updated this week
• HunterMcGushion / hyperparameter_hunter
  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
  ☆707Updated 4 years ago