| Name | Version | Summary | date |
| PySCIPOpt-ML |
1.1.1 |
automatically formulate and embed ML models into MIPs with SCIP |
2024-05-02 10:04:11 |
| DiSTNet2D |
0.1.4 |
tensorflow/keras implementation of DiSTNet 2D |
2024-04-29 15:52:45 |
| netron |
7.6.3 |
Viewer for neural network, deep learning, and machine learning models |
2024-04-28 17:50:25 |
| keras-generators |
1.4.4 |
Multi-dimensional/Multi-input/Multi-output Data preprocessing and Batch Generators for Keras models |
2024-04-24 12:12:19 |
| nobuco |
0.13.2 |
Pytorch to Tensorflow conversion made intuitive |
2024-04-08 03:49:50 |
| sparseml-nightly |
1.8.0.20240404 |
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models |
2024-04-04 13:52:43 |
| aitk |
2.0.1 |
Python tools for AI |
2024-04-01 19:50:59 |
| intel-optimization-for-horovod |
0.28.1.4 |
Intel® Optimization for Horovod* is the distributed training framework for TensorFlow* and PyTorch*. |
2024-03-28 01:27:29 |
| cmsml |
0.2.5 |
Python package of the CMS Machine Learning Group |
2024-03-27 15:09:47 |
| kimm |
0.1.8 |
A Keras model zoo with pretrained weights. |
2024-03-23 11:30:29 |
| autokeras |
2.0.0 |
AutoML for deep learning |
2024-03-20 21:40:40 |