Alternatives and similar repositories for optuna-dashboard

Users that are interested in optuna-dashboard are comparing it to the libraries listed below

• optuna / optuna-examples
  Examples for https://github.com/optuna/optuna
  ☆819Updated last week
• optuna / optuna-integration
  Extended functionalities for Optuna in combination with third-party libraries.
  ☆62Updated 2 weeks ago
• neptune-ai / neptune-client
  📘 The experiment tracker for foundation model training
  ☆624Updated 2 months ago
• ray-project / tune-sklearn
  A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
  ☆469Updated 2 years ago
• adriangb / scikeras
  Scikit-Learn API wrapper for Keras.
  ☆250Updated last year
• scikit-learn-contrib / MAPIE
  A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
  ☆1,502Updated this week
• cod3licious / autofeat
  Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
  ☆535Updated 2 weeks ago
• eli5-org / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆320Updated 8 months ago
• uxlfoundation / scikit-learn-intelex
  Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
  ☆1,324Updated this week
• pytorch-tabular / pytorch_tabular
  A standard framework for modelling Deep Learning Models for tabular data
  ☆1,617Updated this week
• erdogant / distfit
  distfit is a python library for probability density fitting.
  ☆409Updated 2 months ago
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆641Updated last year
• dholzmueller / pytabkit
  ML models + benchmark for tabular data classification and regression
  ☆315Updated 2 weeks ago
• scikit-activeml / scikit-activeml
  scikit-activeml: A Comprehensive and User-friendly Active Learning Library
  ☆181Updated this week
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆403Updated 2 months ago
• cerlymarco / linear-tree
  A python library to build Model Trees with Linear Models at the leaves.
  ☆387Updated last year
• LeoGrin / tabular-benchmark
  ☆500Updated last year
• AutoViML / featurewiz
  Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…
  ☆676Updated 10 months ago
• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆355Updated 3 weeks ago
• mmschlk / shapiq
  Shapley Interactions and Shapley Values for Machine Learning
  ☆666Updated last week
• csinva / imodels
  Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
  ☆1,560Updated last month
• alteryx / evalml
  EvalML is an AutoML library written in python.
  ☆837Updated last month
• deel-ai / puncc
  👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
  ☆366Updated last month
• linkedin / FastTreeSHAP
  Fast SHAP value computation for interpreting tree-based models
  ☆549Updated 2 years ago
• henrikbostrom / crepes
  Python package for conformal prediction
  ☆550Updated 2 months ago
• awslabs / fortuna
  A Library for Uncertainty Quantification.
  ☆924Updated 8 months ago
• predict-idlab / tsflex
  Flexible time series feature extraction & processing
  ☆438Updated last year
• syne-tune / syne-tune
  Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
  ☆420Updated 2 weeks ago
• mit-ll-responsible-ai / hydra-zen
  Create powerful Hydra applications without the yaml files and boilerplate code.
  ☆441Updated last week
• stanfordmlgroup / ngboost
  Natural Gradient Boosting for Probabilistic Prediction
  ☆1,818Updated last month