| facebookresearch/LASER |
3,460 |
|
0 |
0 |
over 2 years ago |
1 |
November 21, 2023 |
51 |
other |
Jupyter Notebook |
| Language-Agnostic SEntence Representations |
| msgi/nlp-journey |
1,563 |
|
0 |
0 |
over 2 years ago |
3 |
April 29, 2020 |
0 |
apache-2.0 |
Python |
| Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0. |
| commonsense/conceptnet-numberbatch |
1,114 |
|
0 |
0 |
over 4 years ago |
0 |
|
7 |
other |
Python |
| adobe/NLP-Cube |
521 |
|
1 |
1 |
almost 3 years ago |
24 |
October 18, 2021 |
2 |
apache-2.0 |
HTML |
| Natural Language Processing Pipeline - Sentence Splitting, Tokenization, Lemmatization, Part-of-speech Tagging and Dependency Parsing |
| ElizaLo/NLP-Natural-Language-Processing |
289 |
|
0 |
0 |
about 2 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Projects and useful articles / links |
| sdadas/polish-nlp-resources |
267 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
lgpl-3.0 |
|
| Pre-trained models and language resources for Natural Language Processing in Polish |
| amanchadha/coursera-natural-language-processing-specialization |
217 |
|
0 |
0 |
almost 3 years ago |
0 |
|
1 |
mit |
Jupyter Notebook |
| Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai. |
| turian/neural-language-model |
180 |
|
0 |
0 |
almost 16 years ago |
0 |
|
1 |
|
Python |
| Implementation of neural language models, in particular Collobert + Weston (2008) and a stochastic margin-based version of Mnih's LBL. |
| cstorm125/thai2fit |
169 |
|
0 |
0 |
over 5 years ago |
0 |
|
1 |
mit |
Jupyter Notebook |
| ULMFit Language Modeling, Text Feature Extraction and Text Classification in Thai Language. Created as part of pyThaiNLP |
| yannvgn/laserembeddings |
163 |
|
1 |
4 |
over 4 years ago |
11 |
December 12, 2021 |
3 |
bsd-3-clause |
Python |
| LASER multilingual sentence embeddings as a pip package |
