| 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/LightGBM |
15,819 |
|
278 |
574 |
about 2 years ago |
34 |
September 12, 2023 |
345 |
mit |
C++ |
| A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. |
| 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 |
| root-project/root |
2,329 |
|
0 |
20 |
about 2 years ago |
16 |
October 24, 2022 |
848 |
other |
C++ |
| The official repository for ROOT: analyzing, storing and visualizing big data, scientifically |
| python-adaptive/adaptive |
1,079 |
|
0 |
1 |
over 2 years ago |
29 |
October 15, 2022 |
96 |
bsd-3-clause |
Python |
| :chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions |
| yoshoku/rumale |
723 |
|
0 |
19 |
about 2 years ago |
5 |
November 12, 2023 |
1 |
bsd-3-clause |
Ruby |
| Rumale is a machine learning library in Ruby |
| MaxHalford/eaopt |
721 |
|
0 |
1 |
about 5 years ago |
5 |
November 16, 2020 |
6 |
mit |
Go |
| :four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution) |
| cerndb/dist-keras |
611 |
|
0 |
0 |
over 7 years ago |
2 |
October 26, 2017 |
35 |
gpl-3.0 |
Python |
| Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark. |
| optuna/optuna-examples |
538 |
|
0 |
0 |
about 2 years ago |
0 |
|
5 |
mit |
Python |
| Examples for https://github.com/optuna/optuna |