Alternatives and similar repositories for apricot:

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

• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆226Updated 4 years ago
• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆593Updated 6 years ago
• cvxgrp / pymde
  Minimum-distortion embedding with PyTorch
  ☆540Updated last year
• eamid / trimap
  TriMap: Large-scale Dimensionality Reduction Using Triplets
  ☆310Updated 2 years ago
• alegonz / baikal
  A graph-based functional API for building complex scikit-learn pipelines.
  ☆591Updated 2 years ago
• dabl / dabl
  Data Analysis Baseline Library
  ☆728Updated 2 months ago
• beringresearch / ivis
  Dimensionality reduction in very large datasets using Siamese Networks
  ☆332Updated 4 months ago
• kevinzakka / torchnca
  A PyTorch implementation of Neighbourhood Components Analysis.
  ☆400Updated 4 years ago
• luke14free / pm-prophet
  GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3
  ☆327Updated 4 years ago
• daft-dev / daft
  Render probabilistic graphical models using matplotlib
  ☆677Updated last week
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆414Updated last year
• tmadl / sklearn-expertsys
  Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
  ☆487Updated 7 years ago
• janfreyberg / superintendent
  Practical active learning in python
  ☆189Updated 2 years ago
• amarasovic / interpretability-literature
  ☆264Updated 5 years ago
• marcotcr / anchor
  Code for "High-Precision Model-Agnostic Explanations" paper
  ☆798Updated 2 years ago
• AustinRochford / PyCEbox
  ⬛ Python Individual Conditional Expectation Plot Toolbox
  ☆165Updated 4 years ago
• scikit-learn-contrib / forest-confidence-interval
  Confidence intervals for scikit-learn forest algorithms
  ☆286Updated 7 months ago
• ijmbarr / causalgraphicalmodels
  Causal Graphical Models in Python
  ☆245Updated 2 years ago
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆630Updated last year
• skggm / skggm
  Scikit-learn compatible estimation of general graphical models
  ☆247Updated 11 months ago
• scikit-garden / scikit-garden
  A garden for scikit-learn compatible trees
  ☆286Updated 8 months ago
• janezd / baycomp
  ☆72Updated 9 months ago
• dswah / pyGAM
  [HELP REQUESTED] Generalized Additive Models in Python
  ☆886Updated 8 months ago
• TorchDrift / TorchDrift
  Drift Detection for your PyTorch Models
  ☆315Updated 2 years ago
• andosa / treeinterpreter
  ☆752Updated last year
• corels / corels
  Learning Certifiably Optimal Rule Lists
  ☆172Updated 3 years ago
• metriculous-ml / metriculous
  Measure and visualize machine learning model performance without the usual boilerplate.
  ☆97Updated 5 months ago
• numeristical / introspective
  Repo for the ML_Insights python package
  ☆149Updated last year
• scikit-learn-contrib / scikit-learn-extra
  scikit-learn contrib estimators
  ☆193Updated this week
• scikit-learn-contrib / stability-selection
  scikit-learn compatible implementation of stability selection.
  ☆212Updated last year