Name | Version | Summary | date |
deepCoreML |
0.1 |
A collection of Machine Learning techniques for data management and augmentation. |
2023-11-29 22:13:22 |
picopipe |
1.0.2 |
A small pipeline framework |
2023-11-29 13:41:58 |
dark-emulator |
1.1.2 |
dark emulator package |
2023-11-29 07:10:58 |
pipelinex |
0.7.9 |
PipelineX: Python package to build ML pipelines for experimentation with Kedro, MLflow, and more |
2023-11-28 12:52:31 |
paddlesci |
1.2.0 |
A library for scientific machine learning |
2023-11-27 07:56:53 |
reflame |
1.0.1 |
Revolutionizing Functional Link Neural Network by Metaheuristic Algorithms: reflame - A Python Library |
2023-11-26 04:21:07 |
mllearn-lyt |
0.0.0 |
Machine Learning in Python |
2023-11-25 05:03:47 |
akrule |
0.0.10 |
Highly efficient and precise machine learning models. |
2023-11-24 08:54:25 |
pySAR |
2.4.3 |
A Python package used to analysis Sequence Activity Relationships (SARs) of protein sequences and their mutants using Machine Learning. |
2023-11-23 17:16:04 |
GeoPatch |
1.1.1 |
GeoPatch is a package for generating patches from remote sensing data |
2023-11-22 22:18:31 |
fastNeuron |
1.1 |
Create and Deploy Neural Networks in seconds fully in python!! |
2023-11-21 15:50:57 |
nn-in-secs |
1.0 |
Create and Deploy Neural Networks in seconds fully in python!! |
2023-11-20 05:34:17 |
pyartemis |
0.1.5 |
A Python package with explanation methods for extraction of feature interactions from predictive models |
2023-11-18 00:25:13 |
PeakDetective |
0.2.4 |
Curates and detects LC/MS peaks in metabolomics datasets |
2023-11-16 20:54:04 |
gradio-textwithattachments |
0.0.4 |
Python library for easily interacting with trained machine learning models |
2023-11-16 18:14:47 |
htsexperimentation |
0.1.72 |
Hierarchical time series forecasting package to help analyze experiments |
2023-11-16 10:53:11 |
gradio-videogallery |
0.0.2 |
Python library for easily interacting with trained machine learning models |
2023-11-15 19:20:22 |
pasts |
2023.3.1 |
unified collections of models to analyze a time series |
2023-11-15 08:52:34 |
tril |
0.2.1 |
Transformers Reinforcement and Imitation Learning Library |
2023-11-13 19:12:44 |
NewtonNet |
1.1.1 |
A Newtonian message passing network for deep learning of interatomic potentials and forces |
2023-11-12 20:38:40 |