temporalCNN
Convolutional Neural Network
A deep learning-based approach to classifying satellite image time series using convolutional neural networks.
Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series
149 stars
10 watching
56 forks
Language: Python
last commit: over 4 years ago
Linked from 1 awesome list
sacridini/awesome-geospatialRelated projects:
| Repository | Description | Stars |
|---|---|---|
 cauchyturing/ucr_time_series_classification_deep_learning_baseline | Developing and evaluating deep learning models for time series classification with a focus on interpretability and deployability. | 677 |
 benedekrozemberczki/pytorch_geometric_temporal | A PyTorch extension for building temporal graph neural networks with support for recurrent and attention-based models | 2,669 |
 eilene/gwnn | A TensorFlow implementation of a graph convolution algorithm using wavelet transforms instead of traditional methods. | 64 |
 wkentaro/fcn | An implementation of fully convolutional networks in Chainer, a deep learning framework. | 218 |
 lonl/cdbn | An implementation of a neural network architecture for image classification using convolutional and belief propagation techniques. | 35 |
 ahmedfgad/numpycnn | An implementation of a convolutional neural network (CNN) using NumPy for basic classification tasks. | 570 |
 jordipons/icassp2017 | Designs efficient architectures for modeling temporal features with deep learning networks | 16 |
 ethanhe42/u-net | A convolutional neural network architecture for biomedical image segmentation | 426 |
 shichenliu/condensenet | An efficient CNN architecture for mobile devices with learned group convolutions and dense connectivity | 694 |
 ysnan/nbd_kerunc | A repository providing pre-trained models and results for image deconvolution in the presence of kernel/model uncertainty | 14 |
 implus/sknet | Implementation of a deep learning model that combines convolutional neural networks with selective kernel networks for image recognition tasks. | 593 |
 tyill/sunnet | A lightweight C++ deep learning library for building and training neural networks. | 61 |
 hyeongseokson1/cnn_deconvolution | Improves deconvolution performance using a Convolutional Neural Network | 22 |
 preritj/segmentation | Deep learning models for semantic segmentation of images | 100 |
 torontodeeplearning/convnet | A high-performance GPU implementation of neural networks using C++ | 506 |