| ray-project/ray |
29,596 |
|
80 |
363 |
about 2 years ago |
95 |
December 04, 2023 |
3,528 |
apache-2.0 |
Python |
| Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads. |
| optuna/optuna |
9,176 |
|
26 |
425 |
about 2 years ago |
59 |
October 17, 2023 |
88 |
other |
Python |
| A hyperparameter optimization framework |
| polyaxon/polyaxon |
3,438 |
|
4 |
12 |
about 2 years ago |
418 |
December 09, 2023 |
122 |
apache-2.0 |
|
| MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle |
| optuna/optuna-examples |
538 |
|
0 |
0 |
about 2 years ago |
0 |
|
5 |
mit |
Python |
| Examples for https://github.com/optuna/optuna |
| Neuraxio/Neuraxle |
533 |
|
0 |
1 |
over 3 years ago |
26 |
August 16, 2022 |
63 |
apache-2.0 |
Python |
| The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments. |
| sherpa-ai/sherpa |
294 |
|
1 |
3 |
over 5 years ago |
8 |
November 23, 2019 |
13 |
other |
JavaScript |
| Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly. |
| ARM-software/mango |
289 |
|
0 |
1 |
over 2 years ago |
6 |
August 07, 2023 |
13 |
apache-2.0 |
Jupyter Notebook |
| Parallel Hyperparameter Tuning in Python |
| Helmholtz-AI-Energy/propulate |
24 |
|
0 |
0 |
over 2 years ago |
0 |
|
38 |
bsd-3-clause |
Python |
| Propulate is an asynchronous evolutionary optimization algorithm and software package for global optimization and hyperparameter search on high-performance computers. |
