| bentrevett/pytorch-sentiment-analysis |
4,133 |
|
0 |
0 |
about 2 years ago |
0 |
|
3 |
mit |
Jupyter Notebook |
| Tutorials on getting started with PyTorch and TorchText for sentiment analysis. |
| towhee-io/towhee |
2,903 |
|
0 |
0 |
about 2 years ago |
26 |
December 04, 2023 |
3 |
apache-2.0 |
Python |
| Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast. |
| hanzhanggit/StackGAN |
1,602 |
|
0 |
0 |
over 6 years ago |
0 |
|
53 |
mit |
Python |
| jasonwei20/eda_nlp |
1,405 |
|
0 |
0 |
about 3 years ago |
0 |
|
9 |
|
Python |
| Data augmentation for NLP, presented at EMNLP 2019 |
| omarsar/nlp_overview |
958 |
|
0 |
0 |
about 6 years ago |
0 |
|
5 |
mit |
CSS |
| Overview of Modern Deep Learning Techniques Applied to Natural Language Processing |
| JudyYe/zero-shot-gcn |
789 |
|
0 |
0 |
about 7 years ago |
0 |
|
11 |
mit |
Python |
| Zero-Shot Learning with GCN (CVPR 2018) |
| 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. |
| jiegzhan/multi-class-text-classification-cnn |
388 |
|
0 |
0 |
about 8 years ago |
0 |
|
24 |
apache-2.0 |
Python |
| Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow. |
| UKPLab/elmo-bilstm-cnn-crf |
363 |
|
0 |
0 |
about 5 years ago |
0 |
|
28 |
apache-2.0 |
Python |
| BiLSTM-CNN-CRF architecture for sequence tagging using ELMo representations. |
| mpc001/Lipreading_using_Temporal_Convolutional_Networks |
275 |
|
0 |
0 |
almost 3 years ago |
0 |
|
12 |
other |
Python |
| ICASSP'22 Training Strategies for Improved Lip-Reading; ICASSP'21 Towards Practical Lipreading with Distilled and Efficient Models; ICASSP'20 Lipreading using Temporal Convolutional Networks |
