| nickliqian/cnn_captcha |
2,477 |
|
0 |
0 |
over 3 years ago |
0 |
|
90 |
apache-2.0 |
Python |
| use cnn recognize captcha by tensorflow. 本项目针对字符型图片验证码，使用tensorflow实现卷积神经网络，进行验证码识别。 |
| lxztju/pytorch_classification |
1,055 |
|
0 |
0 |
about 3 years ago |
0 |
|
39 |
mit |
Jupyter Notebook |
| 利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码 |
| merantix/picasso |
990 |
|
1 |
0 |
about 8 years ago |
5 |
May 15, 2017 |
18 |
epl-1.0 |
Python |
| :art: A CNN visualizer |
| bansalkanav/Machine_Learning_and_Deep_Learning |
492 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
gpl-3.0 |
Jupyter Notebook |
| taosir/cnn_handwritten_chinese_recognition |
431 |
|
0 |
0 |
over 3 years ago |
0 |
|
12 |
mit |
Python |
| CNN在线识别手写中文。 |
| physhik/ecg-mit-bih |
86 |
|
0 |
0 |
over 4 years ago |
0 |
|
3 |
gpl-3.0 |
Python |
| ECG classification using MIT-BIH data, a deep CNN learning implementation of Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network, https://www.nature.com/articles/s41591-018-0268-3 and also deploy the trained model to a web app using Flask, introduced at |
| Coopss/EMNIST |
73 |
|
0 |
0 |
over 7 years ago |
0 |
|
2 |
mit |
Python |
| A project designed to explore CNN and the effectiveness of RCNN on classifying the EMNIST dataset. |
| ahmedfgad/CIFAR10CNNFlask |
59 |
|
0 |
0 |
about 3 years ago |
0 |
|
0 |
|
Python |
| Building a HTTP-accessed convolutional neural network model using TensorFlow NN (tf.nn), CIFAR10 dataset, Python and Flask. |
| moinudeen/digit-recognizer-flask-cnn |
56 |
|
0 |
0 |
over 9 years ago |
0 |
|
5 |
gpl-3.0 |
CSS |
| A simple Flask application that recognizes handwritten digits. Developed using TensorFlow and Keras. |
| venugopalkadamba/Multi_Disease_Predictor |
52 |
|
0 |
0 |
over 3 years ago |
0 |
|
4 |
|
Jupyter Notebook |
| A Machine Learning and Deep Learning based webapp used to predict multiple diseases. |
