| explosion/spaCy |
28,084 |
|
1,533 |
1,367 |
about 2 years ago |
226 |
October 16, 2023 |
103 |
mit |
Python |
| 💫 Industrial-strength Natural Language Processing (NLP) in Python |
| microsoft/NeuronBlocks |
1,439 |
|
0 |
0 |
over 2 years ago |
0 |
|
9 |
mit |
Python |
| NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego |
| code-kern-ai/refinery |
1,257 |
|
0 |
0 |
over 2 years ago |
8 |
September 28, 2022 |
70 |
apache-2.0 |
Python |
| The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact. |
| obsei/obsei |
1,020 |
|
0 |
0 |
about 2 years ago |
14 |
November 19, 2022 |
31 |
apache-2.0 |
Python |
| Obsei is a low code AI powered automation tool. It can be used in various business flows like social listening, AI based alerting, brand image analysis, comparative study and more . |
| Hello-SimpleAI/chatgpt-comparison-detection |
921 |
|
0 |
0 |
almost 3 years ago |
0 |
|
18 |
|
Python |
| Human ChatGPT Comparison Corpus (HC3), Detectors, and more! 🔥 |
| greyblake/whatlang-rs |
919 |
|
12 |
14 |
over 2 years ago |
33 |
August 16, 2023 |
10 |
mit |
Rust |
| Natural language detection library for Rust. Try demo online: https://whatlang.org/ |
| styfeng/DataAug4NLP |
595 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
|
|
| Collection of papers and resources for data augmentation for NLP. |
| brightmart/sentiment_analysis_fine_grain |
504 |
|
0 |
0 |
over 7 years ago |
0 |
|
8 |
|
Jupyter Notebook |
| Multi-label Classification with BERT; Fine Grained Sentiment Analysis from AI challenger |
| EricFillion/happy-transformer |
449 |
|
0 |
5 |
over 2 years ago |
23 |
August 05, 2023 |
15 |
apache-2.0 |
Python |
| Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models. |
| sergioburdisso/pyss3 |
307 |
|
0 |
0 |
over 2 years ago |
29 |
January 30, 2021 |
5 |
mit |
Python |
| A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI :octocat:) |
