| 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. |
| AxeldeRomblay/MLBox |
1,403 |
|
0 |
0 |
about 3 years ago |
21 |
August 25, 2020 |
26 |
other |
Python |
| MLBox is a powerful Automated Machine Learning python library. |
| danielhanchen/hyperlearn |
1,387 |
|
0 |
0 |
almost 4 years ago |
0 |
|
0 |
apache-2.0 |
Jupyter Notebook |
| 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old. |
| jermwatt/machine_learning_refined |
1,247 |
|
0 |
0 |
about 3 years ago |
0 |
|
1 |
other |
Python |
| Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press). |
| ikatsov/tensor-house |
1,098 |
|
0 |
0 |
about 2 years ago |
0 |
|
11 |
apache-2.0 |
Jupyter Notebook |
| A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more. |
| DrWaleedAYousef/Teaching |
802 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
gpl-3.0 |
Mathematica |
| Teaching Materials for Dr. Waleed A. Yousef |
| williamFalcon/test-tube |
719 |
|
9 |
17 |
over 3 years ago |
64 |
December 01, 2019 |
27 |
mit |
JavaScript |
| Python library to easily log experiments and parallelize hyperparameter search for neural networks |
| alteryx/evalml |
679 |
|
0 |
5 |
about 2 years ago |
85 |
November 03, 2023 |
316 |
bsd-3-clause |
Python |
| EvalML is an AutoML library written in python. |
| HunterMcGushion/hyperparameter_hunter |
635 |
|
1 |
0 |
about 5 years ago |
16 |
June 14, 2018 |
37 |
mit |
Python |
| Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries |
| SimonBlanke/Hyperactive |
475 |
|
0 |
5 |
over 2 years ago |
75 |
October 24, 2023 |
8 |
mit |
Python |
| An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models. |