optuna / optuna-integrationLinks
Extended functionalities for Optuna in combination with third-party libraries.
☆55Updated last week
Alternatives and similar repositories for optuna-integration
Users that are interested in optuna-integration are comparing it to the libraries listed below
Sorting:
- Real-time Web Dashboard for Optuna.☆671Updated this week
- Distributed hyperparameter optimization made easy☆37Updated last year
- Python library to use packages in OptunaHub☆48Updated 2 weeks ago
- Easy Custom Losses for Tree Boosters using Pytorch☆35Updated 4 years ago
- Flexible Feature Engineering & Exploration Library using GPUs and Optuna.☆388Updated last year
- The registry of the OptunaHub packages☆41Updated this week
- [NOT MAINTAINED] Cython accelerated fANOVA implementation for Optuna.☆25Updated last year
- Scikit-Learn API wrapper for Keras.☆247Updated 8 months ago
- ☆78Updated 3 years ago
- scikit-learn contrib estimators☆197Updated 2 weeks ago
- Probabilistic Gradient Boosting Machines☆156Updated last year
- An extension of LightGBM to probabilistic modelling☆328Updated 3 weeks ago
- Probabilistic prediction with XGBoost.☆114Updated 5 months ago
- PipelineX: Python package to build ML pipelines for experimentation with Kedro, MLflow, and more☆229Updated last year
- The Optuna MCP Server is a Model Context Protocol (MCP) server to interact with Optuna APIs.☆50Updated this week
- implementation of Cyclic Boosting machine learning algorithms☆91Updated 11 months ago
- Learn Pyro through the M5 forecasting competition☆86Updated 5 years ago
- My toolbox for data analysis. :)☆175Updated 7 months ago
- Scale Optuna with Dask☆35Updated 4 years ago
- Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.☆439Updated 3 months ago
- ☆202Updated 3 months ago
- Unofficial Python implementation of "Precision and Recall for Time Series".☆41Updated last year
- ☆100Updated last week
- Optuna + LightGBM = OptGBM☆35Updated 3 years ago
- Outlier Detection Thresholding☆135Updated 2 weeks ago
- Examples for https://github.com/optuna/optuna☆785Updated last week
- Elo ratings for global black box derivative-free optimizers☆141Updated 6 months ago
- Random Forest or XGBoost? It is Time to Explore LCE☆67Updated 2 years ago
- A toy hyperparameter optimization framework intended for understanding Optuna's internal design.☆83Updated 3 years ago
- ML models + benchmark for tabular data classification and regression☆251Updated 2 weeks ago