| PetrochukM/PyTorch-NLP |
2,180 |
|
9 |
10 |
almost 3 years ago |
19 |
November 04, 2019 |
24 |
bsd-3-clause |
Python |
| Basic Utilities for PyTorch Natural Language Processing (NLP) |
| Maluuba/nlg-eval |
1,265 |
|
0 |
0 |
over 2 years ago |
0 |
|
22 |
other |
Python |
| Evaluation code for various unsupervised automated metrics for Natural Language Generation. |
| Unbabel/COMET |
346 |
|
0 |
4 |
over 2 years ago |
32 |
October 23, 2023 |
19 |
apache-2.0 |
Python |
| A Neural Framework for MT Evaluation |
| HLasse/TextDescriptives |
256 |
|
0 |
1 |
about 2 years ago |
32 |
October 31, 2023 |
2 |
apache-2.0 |
Python |
| A Python library for calculating a large variety of metrics from text |
| dccuchile/wefe |
169 |
|
0 |
0 |
over 2 years ago |
16 |
November 24, 2025 |
3 |
mit |
Python |
| WEFE: The Word Embeddings Fairness Evaluation Framework. WEFE is a framework that standardizes the bias measurement and mitigation in Word Embeddings models. Please feel welcome to open an issue in case you have any questions or a pull request if you want to contribute to the project! |
| obss/jury |
167 |
|
1 |
1 |
over 2 years ago |
24 |
May 20, 2024 |
4 |
mit |
Python |
| Comprehensive NLP Evaluation System |
| kavgan/ROUGE-2.0 |
145 |
|
0 |
0 |
about 6 years ago |
0 |
|
1 |
apache-2.0 |
Java |
| ROUGE automatic summarization evaluation toolkit. Support for ROUGE-[N, L, S, SU], stemming and stopwords in different languages, unicode text evaluation, CSV output. |
| tagucci/pythonrouge |
142 |
|
0 |
0 |
almost 6 years ago |
0 |
|
5 |
mit |
Perl |
| Python wrapper for evaluating summarization quality by ROUGE package |
| catalogicsoftware/ngx-dynamic-dashboard-framework |
140 |
|
0 |
0 |
almost 6 years ago |
0 |
|
8 |
mit |
TypeScript |
| This is a JSON driven angular x based dashboard framework that is inspired by JIRA's dashboard implementation and https://github.com/raulgomis/angular-dashboard-framework |
| gcunhase/NLPMetrics |
98 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Python code for various NLP metrics |