Name | Version | Summary | date |
flwr-nightly |
1.9.0.dev20240503 |
Flower: A Friendly Federated Learning Framework |
2024-05-03 23:06:02 |
scrapegraphai |
0.8.0 |
A web scraping library based on LangChain which uses LLM and direct graph logic to create scraping pipelines. |
2024-05-03 20:27:03 |
gradio-client |
0.16.1 |
Python library for easily interacting with trained machine learning models |
2024-05-03 18:15:31 |
AudioAugmentor |
0.1.0 |
Python package for simple application of wide range of audio augmentations. |
2024-05-03 18:05:14 |
phiflow |
2.5.4 |
Differentiable PDE solving framework for machine learning |
2024-05-03 12:00:25 |
pyFUME |
0.3.4 |
A Python package for fuzzy model estimation |
2024-05-03 11:41:59 |
torchx-nightly |
2024.5.3 |
TorchX SDK and Components |
2024-05-03 11:25:56 |
giskard |
2.12.0 |
The testing framework dedicated to ML models, from tabular to LLMs |
2024-05-03 10:23:37 |
tf-keras-nightly |
2.17.0.dev2024050309 |
Deep learning for humans. |
2024-05-03 10:08:05 |
hep-ml-lab |
0.4.3 |
An end-to-end framework used for research combining high-energy physics phenomenology with machine learning. |
2024-05-03 09:53:21 |
hsfs |
3.7.6 |
HSFS: An environment independent client to interact with the Hopsworks Featurestore |
2024-05-03 09:42:19 |
capymoa |
0.1.1 |
Python wrapper for MOA to allow efficient use of existing algorithms with a more modern API. |
2024-05-03 07:29:25 |
albumentations |
1.4.5 |
An efficient library for image augmentation, providing extensive transformations to support machine learning and computer vision tasks. |
2024-05-03 01:40:45 |
maspy-ml |
0.1.1 |
Multi-Agent Systems in Python with Machine Learning |
2024-05-02 21:22:34 |
oracle-ml-insights |
1.1.0 |
ML Observability Insights Library |
2024-05-02 20:55:36 |
oracle-automlx |
24.2.0 |
Automated Machine Learning with Explainability |
2024-05-02 18:01:28 |
ditty |
0.5.0 |
None |
2024-05-02 15:42:47 |
aimDIAS |
1.0.0 |
Very fast D/I analysis with aimnet2 |
2024-05-02 11:38:23 |
esmerald |
3.1.3 |
Highly scalable, performant, easy to learn, easy to code and for every application. |
2024-05-02 11:04:26 |
ml-project-tracker |
0.0.3 |
A package for tracking the ML projects |
2024-05-02 08:11:09 |