ICASSP2017
Temporal feature network architecture
Designs efficient architectures for modeling temporal features with deep learning networks
Designing efficient architectures for modeling temporal features with convolutional neural networks
16 stars
2 watching
4 forks
Language: Python
last commit: over 9 years agoRelated projects:
| Repository | Description | Stars |
|---|---|---|
 hfawaz/dl-4-tsc | This project provides a framework for evaluating and comparing different deep learning architectures for time series classification tasks. | 1,576 |
 claws-lab/jodie | A PyTorch implementation of a representation learning framework for dynamic temporal networks | 362 |
 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. | 682 |
 benedekrozemberczki/pytorch_geometric_temporal | A PyTorch extension for building temporal graph neural networks with support for recurrent and attention-based models | 2,694 |
 joeddav/devol | An evolutionary algorithm for designing neural networks in Keras | 951 |
 charlotte-pel/temporalcnn | A deep learning-based approach to classifying satellite image time series using convolutional neural networks. | 149 |
 titu1994/inception-v4 | Implementations of deep learning architectures in Keras using the Functional API | 387 |
 jhkim89/pyramidnet | A Torch implementation of a novel neural network architecture designed to improve the generalization ability of deep image classification models. | 129 |
 homles11/igcv3 | An implementation of an efficient deep neural network architecture | 189 |
 yjxiong/tsn-pytorch | A PyTorch implementation of Temporal Segment Networks (TSN) for action recognition and video understanding. | 1,066 |
 zhegan27/tsbn_code_nips2015 | This Matlab code implements a deep learning model for sequence modeling using a novel belief network architecture. | 48 |
 preritj/segmentation | Deep learning models for semantic segmentation of images | 101 |
 dbln/stochastic_depth_keras | A Python implementation of the Stochastic Depth technique for deep neural networks | 139 |
 damitkwr/esrnn-gpu | A PyTorch implementation of an optimized deep learning model for time series forecasting on GPUs. | 319 |
 ethanhe42/u-net | A convolutional neural network architecture for biomedical image segmentation | 430 |