Alternatives and similar repositories for Metrics

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

• jeongyoonlee / Kaggler
  Code for Kaggle Data Science Competitions
  ☆751Updated last year
• MLWave / Kaggle-Ensemble-Guide
  Code for the Kaggle Ensembling Guide Article on MLWave
  ☆1,578Updated 7 years ago
• kaz-Anova / StackNet
  StackNet is a computational, scalable and analytical Meta modelling framework
  ☆1,319Updated 6 years ago
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,629Updated last month
• scikit-learn-contrib / category_encoders
  A library of sklearn compatible categorical variable encoders
  ☆2,447Updated 2 months ago
• scikit-learn-contrib / metric-learn
  Metric learning algorithms in Python
  ☆1,421Updated 10 months ago
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆856Updated last year
• entron / entity-embedding-rossmann
  ☆873Updated 5 years ago
• ibayer / fastFM
  fastFM: A Library for Factorization Machines
  ☆1,085Updated 2 years ago
• TeamHG-Memex / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆2,771Updated last month
• andosa / treeinterpreter
  ☆760Updated last year
• Far0n / xgbfi
  XGBoost Feature Interactions & Importance
  ☆500Updated 7 years ago
• scikit-learn-contrib / sklearn-pandas
  Pandas integration with sklearn
  ☆2,832Updated last year
• danielfrg / tsne
  A python wrapper for Barnes-Hut tsne
  ☆409Updated 2 years ago
• limexp / xgbfir
  XGBoost Feature Interactions Reshaped
  ☆429Updated 7 years ago
• Far0n / kaggletils
  ☆382Updated 8 years ago
• geffy / tffm
  TensorFlow implementation of an arbitrary order Factorization Machine
  ☆781Updated 3 years ago
• tmadl / semisup-learn
  Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data
  ☆503Updated 3 years ago
• maxpumperla / hyperas
  Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
  ☆2,178Updated 2 years ago
• scikit-learn-contrib / imbalanced-learn
  A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
  ☆6,993Updated 2 weeks ago
• rushter / heamy
  A set of useful tools for competitive data science.
  ☆550Updated 2 years ago
• EliotAndres / kaggle-past-solutions
  A searchable compilation of Kaggle past solutions
  ☆1,495Updated 5 years ago
• ArdalanM / pyLightGBM
  Python binding for Microsoft LightGBM
  ☆343Updated 6 years ago
• emanuele / kaggle_pbr
  My best submission to the Kaggle competition "Predicting a Biological Response", ranked 17th over 711 teams.
  ☆440Updated 8 years ago
• maciejkula / spotlight
  Deep recommender models using PyTorch.
  ☆3,020Updated 2 years ago
• iskandr / fancyimpute
  Multivariate imputation and matrix completion algorithms implemented in Python
  ☆1,271Updated last year
• Mendeley / mrec
  A recommender systems development and evaluation package by Mendeley
  ☆568Updated 2 years ago
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,771Updated last year
• rasbt / mlxtend
  A library of extension and helper modules for Python's data analysis and machine learning libraries.
  ☆5,016Updated 4 months ago
• maxpumperla / elephas
  Distributed Deep learning with Keras & Spark
  ☆1,574Updated 2 years ago