| Name | Version | Summary | date |
| anthropic-tools |
1.0.2 |
Simplifies the usage of Anthropic Claude's tool use by generating the schemas and parsing the responses for you. |
2024-04-23 09:16:06 |
| seqio-nightly |
0.0.18.dev20240423 |
SeqIO: Task-based datasets, preprocessing, and evaluation for sequence models. |
2024-04-23 07:02:16 |
| bleuscore |
0.1.0 |
A fast bleu score calculator |
2024-04-23 05:47:58 |
| langflow |
0.6.17 |
A Python package with a built-in web application |
2024-04-22 22:59:27 |
| unstructured-inference |
0.7.28 |
A library for performing inference using trained models. |
2024-04-22 15:16:58 |
| analiticcl |
0.4.6 |
Analiticcl is an approximate string matching or fuzzy-matching system that can be used to find variants for spelling correction or text normalisation |
2024-04-22 11:18:45 |
| bertopic |
0.16.1 |
BERTopic performs topic Modeling with state-of-the-art transformer models. |
2024-04-21 14:40:06 |
| piraye |
0.5.1 |
A utility for normalizing persian, arabic and english texts |
2024-04-21 11:58:16 |
| unstructured |
0.13.3 |
A library that prepares raw documents for downstream ML tasks. |
2024-04-21 04:12:29 |
| stanza |
1.8.2 |
A Python NLP Library for Many Human Languages, by the Stanford NLP Group |
2024-04-20 18:57:52 |
| cltk |
1.2.5 |
The Classical Language Toolkit |
2024-04-20 18:11:53 |
| tabletalk |
0.0.8 |
NL2SQL2RAG |
2024-04-19 21:23:50 |
| dtpu |
0.5.1 |
Utilities for text processing tasks with Deep NLP |
2024-04-19 13:25:19 |
| unillm |
0.0.8 |
Unified Large Language Model Interface for ChatGPT, LLaMA, Mistral, Claude, and RAG |
2024-04-19 08:07:23 |
| tokenizers |
0.19.1 |
None |
2024-04-17 21:40:41 |
| zeldarose |
0.9.0 |
Train transformer-based models |
2024-04-17 15:36:46 |
| sentence-transformers |
2.7.0 |
Multilingual text embeddings |
2024-04-17 13:15:44 |
| lingpatlab |
0.1.10 |
Linguistic Pattern Lab using spaCy |
2024-04-16 17:40:17 |
| healthsageai |
0.1.4 |
HealthSage AI LLMs, Healthcare genAI platform |
2024-04-16 08:32:32 |
| flowchat |
1.2.3 |
Streamlining the process of multi-prompting LLMs with chains |
2024-04-16 05:19:03 |