| 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 |
| jadore801120/attention-is-all-you-need-pytorch |
7,910 |
|
0 |
0 |
over 2 years ago |
0 |
|
74 |
mit |
Python |
| A PyTorch implementation of the Transformer model in "Attention is All You Need". |
| explosion/thinc |
2,774 |
|
569 |
67 |
about 2 years ago |
229 |
September 22, 2023 |
16 |
mit |
Python |
| 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries |
| dipanjanS/practical-machine-learning-with-python |
2,054 |
|
0 |
0 |
about 3 years ago |
0 |
|
19 |
apache-2.0 |
Jupyter Notebook |
| Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system. |
| 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. |
| IBM/zshot |
278 |
|
0 |
0 |
over 2 years ago |
9 |
January 04, 2023 |
4 |
mit |
Python |
| Zero and Few shot named entity & relationships recognition |
| natasha/slovnet |
188 |
|
0 |
2 |
over 2 years ago |
5 |
January 23, 2023 |
6 |
mit |
Python |
| Deep Learning based NLP modeling for Russian language |
| yuzcccc/vqa-mfb |
135 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
|
Python |
| microsoft/presidio-research |
131 |
|
0 |
0 |
over 2 years ago |
69 |
February 04, 2023 |
7 |
mit |
Python |
| This package features data-science related tasks for developing new recognizers for Presidio. It is used for the evaluation of the entire system, as well as for evaluating specific PII recognizers or PII detection models. |
| BaderLab/saber |
100 |
|
0 |
0 |
almost 6 years ago |
2 |
January 21, 2019 |
38 |
mit |
Python |
| Saber is a deep-learning based tool for information extraction in the biomedical domain. Pull requests are welcome! Note: this is a work in progress. Many things are broken, and the codebase is not stable. |
