| Name | Version | Summary | date |
| usherai-005 |
0.0.1 |
Experimental A.I. Intergration Module, including text to speech |
2024-05-12 04:16:03 |
| usherai-004 |
0.0.1 |
Experimental A.I. Intergration Module, including text to speech |
2024-05-12 04:06:53 |
| usherai-003 |
0.0.1 |
Experimental A.I. Intergration Module, including text to speech |
2024-05-12 03:53:12 |
| usherai-002 |
0.0.1 |
Experimental A.I. Intergration Module, including text to speech |
2024-05-12 03:36:32 |
| usherai-001 |
0.0.1 |
Experimental A.I. Intergration Module, including text to speech |
2024-05-12 03:12:18 |
| datamana |
0.1.2 |
Dataset Manager |
2024-05-11 13:24:52 |
| attackai |
1.0.0 |
Simulation of poisoning attack on AI model |
2024-05-05 13:25:06 |
| scrapegraphaisub |
0.0.12b4 |
A first semantic versioned Scrapegraph fork by subzero team |
2024-04-26 13:02:28 |
| eins |
0.1.1 |
One tensor operation is all you need |
2024-04-20 19:35:11 |
| ArrowTextClassifier |
1.0.3 |
ArrowTextClassifier is a simple text classification tool written in pytorch that allows you to train, summarize, and use text classification models for various tasks. |
2024-04-20 14:25:39 |
| nichirin |
0.0.1 |
TODO |
2024-04-13 21:04:57 |
| scalifiai-client |
1.3.0a8 |
SCALIFI AI NO CODE PLATFORM |
2024-04-11 12:20:38 |
| deforce |
1.0.0 |
deforce: Derivative-Free Algorithms for Optimizing Cascade Forward Neural Networks |
2024-04-06 15:43:35 |
| fakeset |
0.0.2 |
Fake Dataset |
2024-03-30 02:23:45 |
| pydavid |
1.0.1 |
A simple Python interface of Open-David |
2024-03-29 16:49:06 |
| pystc |
2.0.0 |
A simple but extensible Python module for sentences |
2024-03-28 15:24:16 |
| sapiensqa |
1.0.2 |
SapiensQA (Question and Answer) is a proprietary Machine Learning algorithm for creating Natural Language Processing models where the answers are previously known. |
2024-03-27 07:04:33 |
| sapiensnb |
1.0.4 |
SapiensNB (Naive Bayes) is a classification algorithm that returns a probabilistic result based on Bayes Theorem. |
2024-03-27 06:54:30 |
| sapiensknn |
1.0.3 |
SapiensKNN (K-Nearest Neighbors) is an algorithm for classification and regression that returns the result based on the Euclidean distance between the input values. |
2024-03-27 06:42:28 |
| neighborly |
2.5.0 |
A narrative-focused agent-based settlement simulation framework. |
2024-03-25 04:31:46 |