| JaidedAI/EasyOCR |
20,438 |
|
0 |
69 |
over 2 years ago |
32 |
September 04, 2023 |
340 |
apache-2.0 |
Python |
| Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc. |
| emilwallner/Screenshot-to-code |
14,132 |
|
0 |
0 |
almost 4 years ago |
0 |
|
17 |
other |
HTML |
| A neural network that transforms a design mock-up into a static website. |
| Mikoto10032/DeepLearning |
7,463 |
|
0 |
0 |
almost 4 years ago |
0 |
|
8 |
apache-2.0 |
Jupyter Notebook |
| 深度学习入门教程, 优秀文章, Deep Learning Tutorial |
| aladdinpersson/Machine-Learning-Collection |
6,173 |
|
0 |
0 |
over 2 years ago |
0 |
|
95 |
mit |
Python |
| A resource for learning about Machine learning & Deep Learning |
| 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. |
| borisbanushev/stockpredictionai |
3,235 |
|
0 |
0 |
about 4 years ago |
0 |
|
320 |
|
|
| In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later. |
| fchollet/keras-resources |
3,174 |
|
0 |
0 |
over 3 years ago |
0 |
|
13 |
|
|
| Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library |
| zzw922cn/Automatic_Speech_Recognition |
2,743 |
|
0 |
0 |
about 4 years ago |
0 |
|
69 |
mit |
Python |
| End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow |
| tobegit3hub/tensorflow_template_application |
1,867 |
|
0 |
0 |
almost 3 years ago |
1 |
May 20, 2021 |
14 |
apache-2.0 |
Python |
| TensorFlow template application for deep learning |
| jiesutd/NCRFpp |
1,862 |
|
0 |
0 |
almost 4 years ago |
1 |
March 16, 2022 |
5 |
apache-2.0 |
Python |
| NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components. |
