| 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. |
| microsoft/FLAML |
3,500 |
|
0 |
11 |
about 2 years ago |
92 |
October 02, 2023 |
210 |
mit |
Jupyter Notebook |
| A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP. |
| shankarpandala/lazypredict |
2,275 |
|
0 |
1 |
over 2 years ago |
12 |
September 28, 2022 |
83 |
mit |
Python |
| Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning |
| tobegit3hub/advisor |
1,202 |
|
0 |
0 |
over 6 years ago |
5 |
October 04, 2018 |
19 |
apache-2.0 |
Jupyter Notebook |
| Open-source implementation of Google Vizier for hyper parameters tuning |
| ray-project/tune-sklearn |
461 |
|
0 |
8 |
over 2 years ago |
24 |
November 06, 2023 |
34 |
apache-2.0 |
Python |
| A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques. |
| awslabs/adatune |
144 |
|
0 |
0 |
over 5 years ago |
0 |
|
1 |
apache-2.0 |
Python |
| Gradient based Hyperparameter Tuning library in PyTorch |
| pfnet-research/autogbt-alt |
73 |
|
0 |
0 |
about 7 years ago |
0 |
|
0 |
mit |
Python |
| An experimental Python package that reimplements AutoGBT using LightGBM and Optuna. |
| Angel-ML/automl |
44 |
|
0 |
0 |
over 6 years ago |
0 |
|
2 |
apache-2.0 |
Scala |
| An automatic machine learning toolkit, including hyper-parameter tuning and feature engineering. |
| MLBazaar/AutoBazaar |
25 |
|
0 |
1 |
over 5 years ago |
6 |
June 22, 2020 |
4 |
mit |
Python |
| AutoBazaar: An AutoML System from the Machine Learning Bazaar |
| countif/enas_nni |
25 |
|
0 |
0 |
about 7 years ago |
0 |
|
5 |
|
Python |
| This code is for running enas on nni. |
