| Name | Version | Summary | date |
| cereja-ai |
0.0.5 |
Cereja-AI is a lib that makes available AI model architectures and pre-trained models for diverse usage. |
2023-04-03 07:26:24 |
| captn-client |
2023.3.0 |
Captn client library |
2023-03-31 12:13:20 |
| airt-client |
2023.3.0 |
Python client for airt-service |
2023-03-31 10:35:35 |
| beautiful-tensors |
0.0.1 |
Turn tensor operations into aesthetic diagrams. Currently supports PyTorch (Keras/TensorFlow coming soon). |
2023-03-24 12:44:46 |
| autoencoder-tools |
0.0.2 |
A package to setup and optimize autoencoders using keras. |
2023-02-08 13:32:38 |
| torchview |
0.2.5 |
Visualization of Pytorch Models |
2023-01-24 03:17:48 |
| bert-for-tf2e |
0.14.13 |
A TensorFlow 2.11.0 Keras implementation of BERT. |
2023-01-23 21:03:39 |
| bert-for-tf2-e |
0.14.11 |
A TensorFlow 2.11.0 Keras implementation of BERT. |
2023-01-22 11:39:23 |
| fap |
0.0.4 |
Apis |
2023-01-16 10:31:30 |
| litten |
0.1.0 |
A python package to visualize sequentail tensorflow model archtictures |
2022-12-23 13:57:28 |
| Attention-and-Transformers |
0.0.15 |
Building attention mechanisms and Transformer models from scratch. Alias ATF. |
2022-12-17 19:13:12 |
| keras-complex |
0.2.3 |
Complex values in Keras |
2022-12-06 23:06:31 |
| guildai |
0.8.2 |
Experiment tracking, ML developer tools |
2022-10-18 18:44:57 |
| livelossplot |
0.5.5 |
Live training loss plot in Jupyter Notebook for Keras, PyTorch and others. |
2022-04-04 16:14:10 |
| torch-summary |
1.4.5 |
Model summary in PyTorch, based off of the original torchsummary. |
2020-12-24 05:00:32 |
| barbar |
0.2.1 |
Progress bar for deep learning training iterations |
2019-04-11 08:15:52 |