Alternatives and similar repositories for apricot

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

• beringresearch / ivis
  Dimensionality reduction in very large datasets using Siamese Networks
  ☆339Updated last month
• cvxgrp / pymde
  Minimum-distortion embedding with PyTorch
  ☆567Updated 6 months ago
• eamid / trimap
  TriMap: Large-scale Dimensionality Reduction Using Triplets
  ☆325Updated last month
• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆597Updated 7 years ago
• janezd / baycomp
  ☆75Updated last year
• marcotcr / anchor
  Code for "High-Precision Model-Agnostic Explanations" paper
  ☆813Updated 3 years ago
• alegonz / baikal
  A graph-based functional API for building complex scikit-learn pipelines.
  ☆590Updated 3 years ago
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆232Updated 4 years ago
• kevinzakka / torchnca
  A PyTorch implementation of Neighbourhood Components Analysis.
  ☆400Updated 5 years ago
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆434Updated 2 years ago
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆655Updated last year
• janfreyberg / superintendent
  Practical active learning in python
  ☆191Updated 3 years ago
• scikit-learn-contrib / stability-selection
  scikit-learn compatible implementation of stability selection.
  ☆214Updated 2 years ago
• scikit-learn-contrib / project-template
  A template for scikit-learn extensions
  ☆339Updated 11 months ago
• AustinRochford / PyCEbox
  ⬛ Python Individual Conditional Expectation Plot Toolbox
  ☆164Updated 5 years ago
• dswah / pyGAM
  [CONTRIBUTORS WELCOME] Generalized Additive Models in Python
  ☆940Updated last week
• EpistasisLab / pmlb
  PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.
  ☆853Updated 10 months ago
• dabl / dabl
  Data Analysis Baseline Library
  ☆727Updated last year
• ijmbarr / causalgraphicalmodels
  Causal Graphical Models in Python
  ☆250Updated 2 years ago
• scikit-learn-contrib / forest-confidence-interval
  Confidence intervals for scikit-learn forest algorithms
  ☆290Updated 8 months ago
• interpretable-ml / iml
  Interpretable ML package designed to explain any machine learning model.
  ☆61Updated 7 years ago
• skggm / skggm
  Scikit-learn compatible estimation of general graphical models
  ☆249Updated 6 months ago
• lmcinnes / pynndescent
  A Python nearest neighbor descent for approximate nearest neighbors
  ☆956Updated 2 weeks ago
• luke14free / pm-prophet
  GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3
  ☆327Updated 5 years ago
• corels / corels
  Learning Certifiably Optimal Rule Lists
  ☆176Updated 4 years ago
• scikit-garden / scikit-garden
  A garden for scikit-learn compatible trees
  ☆288Updated last year
• fabianp / mord
  Ordinal regression algorithms
  ☆271Updated 2 years ago
• Qwicen / node
  Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
  ☆514Updated 4 years ago
• corels / pycorels
  Public home of pycorels, the python binding to CORELS
  ☆80Updated 5 years ago
• scikit-learn-contrib / scikit-learn-contrib
  scikit-learn compatible projects
  ☆408Updated 9 months ago