| Name | Version | Summary | date |
| arekit |
0.25.1 |
Document level Attitude and Relation Extraction toolkit (AREkit) for sampling and prompting mass-media news into datasets for ML-model training |
2024-12-07 11:52:01 |
| bulk-translate |
0.24.1 |
A tiny Python no-string package for performing translation of a massive CSV/JSONL files with optionally pre-annotated object spans |
2024-11-23 12:38:45 |
| source-iter |
0.24.2 |
This is a tiny Python package that serves read/write iterators for most mandatory sources via default packages like CSV / JSONL / SQLite |
2024-11-09 17:00:07 |
| bulk-ner |
0.24.1 |
A no-strings inference implementation framework Named Entity Recognition (NER) service of wrapped AI models powered by AREkit and the related text-processing pipelines. |
2024-11-04 21:48:44 |
| bulk-chain |
0.24.1 |
A lightweight, no-strings-attached Chain-of-Thought framework for your LLM, ensuring reliable results for bulk input requests. |
2024-11-02 12:36:59 |
| arelight |
0.24.0 |
About Mass-media text processing application for your Relation Extraction task, powered by AREkit. |
2024-01-05 22:43:59 |
| arenets |
0.23.1 |
Tensorflow-based framework which lists implementation of conventional neural network models (CNN, RNN-based) for Relation Extraction classification tasks as well as API for custom model implementation |
2023-11-08 13:31:18 |
| arekit-ss |
0.24.0 |
Low Resource Context Relation Sampler for contexts with relations for fact-checking and fine-tuning your LLM models, powered by AREkit |
2023-11-07 12:26:24 |
Nicolay Rusnachenko