Alternatives and similar repositories for Metrics:

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

• ibayer / fastFM
  fastFM: A Library for Factorization Machines
  ☆1,082Updated 2 years ago
• MLWave / Kaggle-Ensemble-Guide
  Code for the Kaggle Ensembling Guide Article on MLWave
  ☆1,571Updated 7 years ago
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,613Updated this week
• geffy / tffm
  TensorFlow implementation of an arbitrary order Factorization Machine
  ☆781Updated 3 years ago
• TeamHG-Memex / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆2,769Updated 2 years ago
• kaz-Anova / StackNet
  StackNet is a computational, scalable and analytical Meta modelling framework
  ☆1,318Updated 6 years ago
• maciejkula / spotlight
  Deep recommender models using PyTorch.
  ☆3,009Updated 2 years ago
• lyst / lightfm
  A Python implementation of LightFM, a hybrid recommendation algorithm.
  ☆4,883Updated 8 months ago
• srendle / libfm
  Library for factorization machines
  ☆1,490Updated 4 years ago
• scikit-learn-contrib / sklearn-pandas
  Pandas integration with sklearn
  ☆2,826Updated last year
• Far0n / xgbfi
  XGBoost Feature Interactions & Importance
  ☆500Updated 7 years ago
• jeongyoonlee / Kaggler
  Code for Kaggle Data Science Competitions
  ☆750Updated 11 months ago
• entron / entity-embedding-rossmann
  ☆873Updated 5 years ago
• scikit-learn-contrib / imbalanced-learn
  A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
  ☆6,946Updated 3 weeks ago
• andosa / treeinterpreter
  ☆756Updated last year
• jundongl / scikit-feature
  open-source feature selection repository in python
  ☆1,528Updated 8 months ago
• scikit-learn-contrib / category_encoders
  A library of sklearn compatible categorical variable encoders
  ☆2,434Updated this week
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,763Updated last year
• emanuele / kaggle_pbr
  My best submission to the Kaggle competition "Predicting a Biological Response", ranked 17th over 711 teams.
  ☆440Updated 8 years ago
• scikit-learn-contrib / metric-learn
  Metric learning algorithms in Python
  ☆1,412Updated 7 months ago
• ycjuan / libffm
  A Library for Field-aware Factorization Machines
  ☆1,600Updated 7 months ago
• coreylynch / pyFM
  Factorization machines in python
  ☆924Updated 4 years ago
• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆593Updated 6 years ago
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆852Updated last year
• reiinakano / scikit-plot
  An intuitive library to add plotting functionality to scikit-learn objects.
  ☆2,433Updated 7 months ago
• Mendeley / mrec
  A recommender systems development and evaluation package by Mendeley
  ☆568Updated 2 years ago
• benfred / implicit
  Fast Python Collaborative Filtering for Implicit Feedback Datasets
  ☆3,645Updated 8 months ago
• rushter / heamy
  A set of useful tools for competitive data science.
  ☆550Updated 2 years ago
• RJT1990 / pyflux
  Open source time series library for Python
  ☆2,121Updated last year
• danielfrg / tsne
  A python wrapper for Barnes-Hut tsne
  ☆409Updated last year