| Name | Version | Summary | date |
| sapiens-transformers |
1.2.6 |
None |
2025-09-04 02:26:21 |
| gptmodel |
1.0.8 |
None |
2025-08-25 01:39:51 |
| hurmodel |
1.1.5 |
None |
2025-08-25 01:29:17 |
| hur |
1.1.2 |
None |
2025-08-15 20:46:17 |
| sapiens-embedding |
1.1.1 |
None |
2025-08-13 13:32:56 |
| sapiens-generalization |
1.0.1 |
None |
2025-08-09 14:47:00 |
| sapiens-infinite-context-window |
1.0.5 |
None |
2025-07-17 03:54:01 |
| sapiens-tokenizer |
1.1.3 |
None |
2025-07-12 18:33:49 |
| hurnet |
1.0.4 |
None |
2025-03-15 05:38:43 |
| single-hurnet-core |
1.0.0 |
Example of construction of an Artificial Neural Network with the single-layer HurNet architecture for two-dimensional numerical matrices. |
2024-12-04 12:19:18 |
| single-hurnet |
1.0.8 |
Example of construction of an Artificial Neural Network with the single-layer HurNet architecture for two-dimensional numerical matrices. |
2024-10-19 23:11:53 |
| 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 |
SAPIENS TECHNOLOGY