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
  ☆86Updated 5 months ago
• NorskRegnesentral / skchange
  skchange provides sktime-compatible change detection and changepoint-based anomaly detection algorithms
  ☆40Updated 2 months ago
• TomerRonen34 / treeboost_autograd
  Easy Custom Losses for Tree Boosters using Pytorch
  ☆35Updated 4 years ago
• sktime / skbase
  Base classes for creating scikit-learn-like parametric objects, and tools for working with them.
  ☆31Updated this week
• koaning / scikit-mdn
  A mixture density network, by PyTorch, for scikit-learn
  ☆24Updated last year
• DidierRLopes / timeseries-cv
  Time-Series Cross-Validation Module
  ☆46Updated 4 years ago
• eserie / wax-ml
  A Python library for machine-learning and feedback loops on streaming data
  ☆62Updated 2 years ago
• hsbc / tslumen
  A library for Time Series EDA (exploratory data analysis)
  ☆72Updated last year
• Blue-Yonder-OSS / cyclic-boosting
  implementation of Cyclic Boosting machine learning algorithms
  ☆94Updated last year
• mthorrell / gbnet
  Gradient Boosting Modules for PyTorch
  ☆58Updated last week
• microprediction / humpday
  Elo ratings for global black box derivative-free optimizers
  ☆143Updated 10 months ago
• JHibbard / mlflow-vizmod
  ☆30Updated 4 years ago
• optuna / optuna-integration
  Extended functionalities for Optuna in combination with third-party libraries.
  ☆60Updated last month
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆157Updated last year
• StatMixedML / Py-BoostLSS
  An extension of Py-Boost to probabilistic modelling
  ☆24Updated 2 years ago
• koaning / scikit-churn
  Exploring some issues related to churn
  ☆17Updated last year
• jmoralez / window_ops
  Fast window operations
  ☆45Updated last year
• jdb78 / lipo
  Global, derivative-free optimization for hyperparameter tuning
  ☆44Updated 2 months ago
• dubovikmaster / parallel-pandas
  Parallel processing on pandas with progress bars
  ☆61Updated 5 months ago
• FBruzzesi / timebasedcv
  Time based splits for cross validation
  ☆39Updated last week
• erdogant / hgboost
  hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…
  ☆64Updated 9 months ago
• Nixtla / coreforecast
  Fast implementations of common forecasting routines
  ☆42Updated 2 weeks ago
• microprediction / timeseries-elo-ratings
  Elo ratings for time-series forecasting packages
  ☆25Updated 3 years ago
• sktime / skpro
  A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
  ☆291Updated last week
• felipeangelimvieira / prophetverse
  A multiverse of Prophet models for timeseries
  ☆70Updated this week
• BCG-X-Official / sklearndf
  DataFrame support for scikit-learn.
  ☆63Updated 2 months ago
• drumtorben / polars-ts
  Polars Time Series Extension
  ☆32Updated last month
• koaning / scikit-playtime
  Rethinking machine learning pipelines
  ☆34Updated 2 months ago
• autogluon / fev
  Forecast evaluation library
  ☆134Updated last week
• deepyaman / kedro-accelerator
  Kedro-Accelerator speeds up pipelines by parallelizing I/O in the background.
  ☆36Updated 3 years ago