| Name | Version | Summary | date |
| 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 |
| nnbma |
1.0.0 |
Neural network-based model approximation (nnbma) |
2023-11-20 12:45:15 |
| 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 |
| nvidia-cuda-profiler-api-cu12 |
12.3.101 |
CUDA Profiler API |
2023-11-15 17:11:28 |
| 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 |
| smartsolve |
0.0.5 |
A machine learning package |
2023-11-12 12:27:16 |
| funpredict |
0.0.6 |
Introducing Fun Predict, the ultimate time-saver for machine learning! No more complex coding or tedious parameter tuning - just sit back and let Fun Predict build your basic models with ease. It's like having a personal assistant for your machine learning projects, making the process simple, efficient, and, well, Fun! 🛋 |
2023-11-12 08:55:15 |
| PredixJaueneko |
0.1 |
A package for data analysis and modeling by Jaueneko |
2023-11-11 15:41:48 |
| gradio-stable-fork |
3.32.6 |
Python library for easily interacting with trained machine learning models |
2023-11-11 12:26:18 |
| gradio-blurhashimage |
0.0.1 |
Python library for easily interacting with trained machine learning models |
2023-11-10 16:56:45 |