| ddbourgin/numpy-ml |
14,162 |
|
0 |
0 |
over 2 years ago |
3 |
June 20, 2020 |
35 |
gpl-3.0 |
Python |
| Machine learning, in numpy |
| weinman/cnn_lstm_ctc_ocr |
470 |
|
0 |
0 |
over 4 years ago |
0 |
|
4 |
gpl-3.0 |
Python |
| Tensorflow-based CNN+LSTM trained with CTC-loss for OCR |
| zhiyongc/Graph_Convolutional_LSTM |
140 |
|
0 |
0 |
over 6 years ago |
0 |
|
2 |
mit |
Jupyter Notebook |
| Traffic Graph Convolutional Recurrent Neural Network |
| tobegit3hub/deep_image_model |
102 |
|
0 |
0 |
over 6 years ago |
0 |
|
3 |
apache-2.0 |
Python |
| Deep convolution/recurrent neural network project with TensorFlow |
| GuangmingZhu/Conv3D_CLSTM |
78 |
|
0 |
0 |
over 7 years ago |
0 |
|
14 |
|
Python |
| Multimodal Gesture Recognition Using 3D Convolution and Convolutional LSTM |
| ZhouYuxuanYX/Wavenet-in-Keras-for-Kaggle-Competition-Web-Traffic-Time-Series-Forecasting |
32 |
|
0 |
0 |
over 6 years ago |
0 |
|
1 |
|
Python |
| Sequence to Sequence Model based on Wavenet instead of LSTM implemented in Keras |
| stickeritis/sticker |
26 |
|
1 |
1 |
about 5 years ago |
8 |
June 10, 2020 |
15 |
other |
Rust |
| Succeeded by SyntaxDot: https://github.com/tensordot/syntaxdot |
| arshiyaaggarwal/Stock-Market-Price-Prediction |
25 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Analysis of various deep learning based models for financial time series data using convolutions, recurrent neural networks (lstm), dilated convolutions and residual learning |
| Kwanss/PCLNet |
21 |
|
0 |
0 |
over 6 years ago |
0 |
|
2 |
mit |
Python |
| Unsupervised Learning for Optical Flow Estimation Using Pyramid Convolution LSTM. |
| snlpatel001213/algorithmia |
14 |
|
0 |
0 |
about 6 years ago |
0 |
|
23 |
gpl-3.0 |
Jupyter Notebook |
