Alternatives and similar repositories for optuna-distributed

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

• astrogilda / tsbootstrap
  tsbootstrap: generate bootstrapped time series samples in Python
  ☆87Updated 6 months ago
• TomerRonen34 / treeboost_autograd
  Easy Custom Losses for Tree Boosters using Pytorch
  ☆35Updated 4 years ago
• NorskRegnesentral / skchange
  skchange provides sktime-compatible change detection and changepoint-based anomaly detection algorithms
  ☆41Updated 3 months ago
• DidierRLopes / timeseries-cv
  Time-Series Cross-Validation Module
  ☆46Updated 4 years ago
• microprediction / humpday
  Elo ratings for global black box derivative-free optimizers
  ☆142Updated 11 months ago
• hsbc / tslumen
  A library for Time Series EDA (exploratory data analysis)
  ☆72Updated last year
• sktime / skbase
  Base classes for creating scikit-learn-like parametric objects, and tools for working with them.
  ☆31Updated 2 weeks ago
• eserie / wax-ml
  A Python library for machine-learning and feedback loops on streaming data
  ☆63Updated 2 years ago
• koaning / scikit-mdn
  A mixture density network, by PyTorch, for scikit-learn
  ☆24Updated last year
• optuna / optuna-integration
  Extended functionalities for Optuna in combination with third-party libraries.
  ☆62Updated 2 weeks ago
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆157Updated last year
• jdb78 / lipo
  Global, derivative-free optimization for hyperparameter tuning
  ☆44Updated 2 months ago
• drumtorben / polars-ts
  Polars Time Series Extension
  ☆32Updated last month
• erdogant / hgboost
  hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…
  ☆64Updated 10 months ago
• sktime / skpro
  A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
  ☆292Updated 2 weeks ago
• jmoralez / window_ops
  Fast window operations
  ☆45Updated last year
• BCG-X-Official / sklearndf
  DataFrame support for scikit-learn.
  ☆63Updated 3 months ago
• pyensemble / wildwood
  Advanced random forest methods in Python
  ☆58Updated 2 years ago
• Nixtla / coreforecast
  Fast implementations of common forecasting routines
  ☆42Updated 3 weeks ago
• jambo6 / generalised-signature-method
  Code for: "A Generalised Signature Method for Time Series"
  ☆65Updated 2 years ago
• microprediction / m6
  M6-Forecasting competition
  ☆43Updated last year
• mthorrell / gbnet
  Gradient Boosting Modules for PyTorch
  ☆77Updated this week
• ahmed-mohamed-sn / ATgfe
  Automated Transparent Genetic Feature Engineering
  ☆22Updated 2 years ago
• StatMixedML / Py-BoostLSS
  An extension of Py-Boost to probabilistic modelling
  ☆24Updated 2 years ago
• FBruzzesi / timebasedcv
  Time based splits for cross validation
  ☆39Updated this week
• noklam / dtype_diet
  Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM
  ☆60Updated last year
• nla-group / fABBA
  A Python library for the fast symbolic approximation of time series
  ☆49Updated this week
• jrbourbeau / dask-optuna
  Scale Optuna with Dask
  ☆35Updated 5 years ago
• JHibbard / mlflow-vizmod
  ☆30Updated 4 years ago
• Blue-Yonder-OSS / cyclic-boosting
  implementation of Cyclic Boosting machine learning algorithms
  ☆94Updated last year