| Name | Version | Summary | date |
| google-vizier-dev |
0.1.24.dev20251010164819 |
Open Source Vizier: Distributed service framework for blackbox optimization and research. |
2025-10-10 16:48:27 |
| autohpsearch |
1.1.2 |
A package for automated hyper parameter tuning and machine learning workflows. Build an end-to-end pipeline or fine tune an LLM on consumer hardware in a few lines of code. |
2025-09-11 08:53:26 |
| google-vizier |
0.1.24 |
Open Source Vizier: Distributed service framework for blackbox optimization and research. |
2025-02-01 16:38:57 |
| tune |
0.1.6 |
An abstraction layer for hyper parameter tuning |
2024-09-03 04:57:04 |
| paddy |
0.2.3 |
Optimize hyperparameters using the Paddy field algorithm |
2024-03-22 17:31:24 |
| evolutune |
0.0.3 |
A Genetic Algorithm-based hyperparameter tuner for machine learning models. |
2024-03-05 16:19:29 |
| hypod |
0.1.2 |
Hypod: A dataclass-based hyperparameter managing system |
2024-02-15 05:34:05 |
| mindfoundry-optaas-client |
1.4.4 |
Mind Foundry Optimization as a Service: Python Client |
2024-01-26 11:58:35 |
| optunacy |
0.3.3 |
Optunacy is a contour plot generator for Optuna studies. |
2024-01-23 16:18:44 |
| slune-lib |
0.0.2 |
A package for performing hyperparameter tuning with the SLURM scheduling system. |
2023-12-02 14:47:28 |
| hyperparameter-tuning |
0.3.1 |
A minimal framework for running hyperparameter tuning |
2023-09-05 09:38:53 |
| parcoords |
0.1.4 |
Parallel coordinates plotting |
2023-07-18 13:44:34 |
| hypot |
0.0.1 |
Hypot: A dataclass-based hyperparameter managing system |
2023-05-05 07:54:41 |
| nnogada |
0.9.1.3 |
Genetic hyperparameter tuning for neural nets |
2023-04-17 16:21:59 |
| hyperopt |
0.2.7 |
Distributed Asynchronous Hyperparameter Optimization |
2021-11-17 10:05:51 |
| cloudml-hypertune |
0.1.0.dev6 |
A library to report Google CloudML Engine HyperTune metrics. |
2019-12-18 22:43:48 |