| ypwhs/dogs_vs_cats |
549 |
|
0 |
0 |
over 5 years ago |
0 |
|
6 |
|
Jupyter Notebook |
| 猫狗大战 |
| chenyuntc/pytorch-best-practice |
499 |
|
0 |
0 |
over 7 years ago |
0 |
|
9 |
|
Python |
| A Guidance on PyTorch Coding Style Based on Kaggle Dogs vs. Cats |
| rdcolema/keras-image-classification |
86 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Using Kaggle cats vs dogs dataset |
| rdcolema/pytorch-image-classification |
79 |
|
0 |
0 |
about 2 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Classifying cat and dog images using Kaggle dataset |
| radekosmulski/dogs_vs_cats |
75 |
|
0 |
0 |
over 8 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| gigasquid/kaggle-cats-dogs |
63 |
|
0 |
0 |
about 9 years ago |
0 |
|
1 |
epl-1.0 |
Clojure |
| Kaggle Challenge of Cats and Dogs Recognition |
| jkjung-avt/keras-cats-dogs-tutorial |
61 |
|
0 |
0 |
almost 7 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| A practical example of image classifier with Keras 2.x and TensorFlow backend, using the Kaggle Cats vs. Dogs dataset. By taking advantage of Keras' image data augmentation capabilities (and also random cropping), we were able to achieve 99% accuracy on the trained model with only 2,000 images in the training set. |
| gigasquid/cats-dogs-cortex-redux |
60 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
epl-1.0 |
Jupyter Notebook |
| Kaggle Cats & Dogs Redux with Cortex and Resnet50 |
| miaopei/cat_vs_dog |
24 |
|
0 |
0 |
over 7 years ago |
0 |
|
1 |
mit |
Jupyter Notebook |
| 猫狗大战 |
| 2012013382/Cat_or_dog-kaggle-vgg19-tensorflow |
20 |
|
0 |
0 |
over 7 years ago |
0 |
|
2 |
|
Python |
| A simple Tensorflow code for fine-tuning VGG-19 to solve 'cat or dog' task in kaggle. |
