| brightmart/text_classification |
7,628 |
|
0 |
0 |
over 2 years ago |
0 |
|
45 |
mit |
Python |
| all kinds of text classification models and more with deep learning |
| zzw922cn/awesome-speech-recognition-speech-synthesis-papers |
2,792 |
|
0 |
0 |
over 2 years ago |
0 |
|
2 |
mit |
|
| Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC) |
| richliao/textClassifier |
1,003 |
|
0 |
0 |
over 4 years ago |
0 |
|
29 |
apache-2.0 |
Python |
| Text classifier for Hierarchical Attention Networks for Document Classification |
| SuperBruceJia/EEG-DL |
563 |
|
0 |
0 |
about 3 years ago |
10 |
May 13, 2020 |
4 |
mit |
Python |
| A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow. |
| landskape-ai/triplet-attention |
347 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021] |
| changzy00/pytorch-attention |
222 |
|
0 |
0 |
over 2 years ago |
1 |
June 17, 2023 |
2 |
mit |
Python |
| 🦖Pytorch implementation of popular Attention Mechanisms, Vision Transformers, MLP-Like models and CNNs.🔥🔥🔥 |
| tlatkowski/multihead-siamese-nets |
173 |
|
0 |
0 |
over 3 years ago |
0 |
|
12 |
mit |
Jupyter Notebook |
| Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task. |
| brightmart/slot_filling_intent_joint_model |
161 |
|
0 |
0 |
over 8 years ago |
0 |
|
4 |
|
Python |
| attention based joint model for intent detection and slot filling |
| JackHCC/Chinese-Text-Classification-PyTorch |
156 |
|
0 |
0 |
almost 3 years ago |
0 |
|
3 |
|
Python |
| 中文文本分类任务，基于PyTorch实现（TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention, DPCNN, Transformer，Bert，ERNIE），开箱即用！ |
| iamhankai/attribute-aware-attention |
124 |
|
0 |
0 |
over 6 years ago |
0 |
|
2 |
|
Python |
| [ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning |
