Alternatives and similar repositories for human-learn:

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

• koaning / doubtlab
  Doubt your data, find bad labels.
  ☆511Updated 9 months ago
• koaning / bulk
  A Simple Bulk Labelling Tool
  ☆576Updated 4 months ago
• koaning / embetter
  just a bunch of useful embeddings for scikit-learn pipelines
  ☆497Updated last month
• koaning / scikit-lego
  Extra blocks for scikit-learn pipelines.
  ☆1,325Updated this week
• koaning / cluestar
  Gain clues from clustering!
  ☆313Updated 9 months ago
• agermanidis / pigeon
  🐦 Quickly annotate data from the comfort of your Jupyter notebook
  ☆785Updated last year
• facebookresearch / balance
  The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to s…
  ☆698Updated last month
• 8080labs / ppscore
  Predictive Power Score (PPS) in Python
  ☆1,146Updated 3 months ago
• ing-bank / popmon
  Monitor the stability of a Pandas or Spark dataframe ⚙︎
  ☆500Updated 3 months ago
• NorskRegnesentral / skweak
  skweak: A software toolkit for weak supervision applied to NLP tasks
  ☆922Updated 8 months ago
• MaartenGr / PolyFuzz
  Fuzzy string matching, grouping, and evaluation.
  ☆761Updated 2 months ago
• skrub-data / skrub
  Machine learning with dataframes
  ☆1,372Updated this week
• eli5-org / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆290Updated 2 weeks ago
• csinva / imodels
  Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
  ☆1,449Updated 2 months ago
• chris1610 / sidetable
  sidetable builds simple but useful summary tables of your data
  ☆389Updated 2 years ago
• xLaszlo / datascience-fails
  Collection of articles listing reasons why data science projects fail.
  ☆463Updated 4 years ago
• ydataai / ydata-quality
  Data Quality assessment with one line of code
  ☆440Updated last month
• alteryx / compose
  A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels f…
  ☆505Updated last month
• MBrouns / timeseers
  Time should be taken seer-iously
  ☆315Updated 2 years ago
• koaning / whatlies
  Toolkit to help understand "what lies" in word embeddings. Also benchmarking!
  ☆472Updated 2 years ago
• Neuraxio / Neuraxle
  The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning produc…
  ☆610Updated 2 years ago
• data-describe / data-describe
  data⎰describe: Pythonic EDA Accelerator for Data Science
  ☆300Updated 2 years ago
• alteryx / evalml
  EvalML is an AutoML library written in python.
  ☆807Updated 2 weeks ago
• iterative / mlem
  🐶 A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day🤞
  ☆720Updated last year
• aeturrell / skimpy
  skimpy is a light weight tool that provides summary statistics about variables in data frames within the console.
  ☆457Updated last week
• linkedin / FastTreeSHAP
  Fast SHAP value computation for interpreting tree-based models
  ☆539Updated last year
• dabl / dabl
  Data Analysis Baseline Library
  ☆727Updated 4 months ago
• BCG-X-Official / facet
  Human-explainable AI.
  ☆520Updated last year
• ray-project / tune-sklearn
  A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
  ☆468Updated last year
• Bergvca / string_grouper
  Super Fast String Matching in Python
  ☆367Updated last month