| JohnSnowLabs/spark-nlp |
3,578 |
|
0 |
30 |
about 2 years ago |
134 |
December 08, 2023 |
43 |
apache-2.0 |
Scala |
| State of the Art Natural Language Processing |
| tensorflow/hub |
3,420 |
|
157 |
180 |
about 2 years ago |
18 |
October 06, 2023 |
3 |
apache-2.0 |
Python |
| A library for transfer learning by reusing parts of TensorFlow models. |
| guillaumegenthial/sequence_tagging |
1,725 |
|
0 |
0 |
almost 7 years ago |
0 |
|
15 |
apache-2.0 |
Python |
| Named Entity Recognition (LSTM + CRF) - Tensorflow |
| 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. |
| benedekrozemberczki/CapsGNN |
1,180 |
|
0 |
0 |
about 3 years ago |
0 |
|
3 |
gpl-3.0 |
Python |
| A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019). |
| omoindrot/tensorflow-triplet-loss |
764 |
|
0 |
0 |
almost 7 years ago |
0 |
|
26 |
mit |
Python |
| Implementation of triplet loss in TensorFlow |
| VisualComputingInstitute/triplet-reid |
642 |
|
0 |
0 |
about 7 years ago |
0 |
|
29 |
mit |
Python |
| Code for reproducing the results of our "In Defense of the Triplet Loss for Person Re-Identification" paper. |
| jiegzhan/multi-class-text-classification-cnn-rnn |
554 |
|
0 |
0 |
about 8 years ago |
0 |
|
29 |
apache-2.0 |
Python |
| Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow. |
| monikkinom/ner-lstm |
528 |
|
0 |
0 |
about 7 years ago |
0 |
|
12 |
|
Python |
| Named Entity Recognition using multilayered bidirectional LSTM |
| RelevanceAI/vectorhub |
525 |
|
0 |
1 |
over 3 years ago |
45 |
September 28, 2021 |
8 |
apache-2.0 |
Python |
| Vector Hub - Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, video2vec, graph2vec, bert, inception, etc) |
