| CyberZHG/keras-bert |
2,281 |
|
20 |
13 |
about 4 years ago |
98 |
January 22, 2022 |
0 |
mit |
Python |
| Implementation of BERT that could load official pre-trained models for feature extraction and prediction |
| codekansas/keras-language-modeling |
673 |
|
0 |
0 |
over 8 years ago |
0 |
|
29 |
mit |
Python |
| :book: Some language modeling tools for Keras |
| uzaymacar/attention-mechanisms |
294 |
|
0 |
0 |
over 4 years ago |
0 |
|
2 |
mit |
Python |
| Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras. |
| mead-ml/mead-baseline |
245 |
|
0 |
0 |
over 2 years ago |
0 |
|
11 |
apache-2.0 |
Python |
| Deep-Learning Model Exploration and Development for NLP |
| CyberZHG/keras-xlnet |
165 |
|
2 |
2 |
about 4 years ago |
23 |
January 22, 2022 |
0 |
mit |
Python |
| Implementation of XLNet that can load pretrained checkpoints |
| CyberZHG/keras-gpt-2 |
121 |
|
2 |
3 |
about 4 years ago |
16 |
January 22, 2022 |
4 |
mit |
Python |
| Load GPT-2 checkpoint and generate texts |
| rolczynski/Automatic-Speech-Recognition |
116 |
|
0 |
0 |
almost 6 years ago |
5 |
March 24, 2020 |
5 |
agpl-3.0 |
Python |
| 🎧 Automatic Speech Recognition: DeepSpeech & Seq2Seq (TensorFlow) |
| IBM/deep-learning-language-model |
103 |
|
0 |
0 |
over 5 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| A Code Pattern focusing on how to train a machine learning language model while using Keras and Tensorflow |
| legacyai/tf-transformers |
76 |
|
0 |
0 |
about 3 years ago |
0 |
|
0 |
apache-2.0 |
Jupyter Notebook |
| State of the art faster Transformer with Tensorflow 2.0 ( NLP, Computer Vision, Audio ). |
| pbloem/language-models |
36 |
|
0 |
0 |
almost 5 years ago |
0 |
|
0 |
mit |
Python |
| Keras implementations of three language models: character-level RNN, word-level RNN and Sentence VAE (Bowman, Vilnis et al 2016). |
