TSBN_code_NIPS2015
Belief Network Model
This Matlab code implements a deep learning model for sequence modeling using a novel belief network architecture.
The Matlab Code and the Supplementary Material for the NIPS 2015 paper "Deep Temporal Sigmoid Belief Networks for Sequence Modeling"
48 stars
5 watching
15 forks
Language: Matlab
last commit: almost 8 years ago
Linked from 1 awesome list
uhub/awesome-matlabRelated projects:
| Repository | Description | Stars |
|---|---|---|
 yjxiong/tsn-pytorch | A PyTorch implementation of Temporal Segment Networks (TSN) for action recognition and video understanding. | 1,066 |
 zk-ml/tachikoma | Defines a standard for serializing neural network inference processes into a graph of operator computational traces. | 33 |
 nv-tlabs/gscnn | This code implements a neural network architecture designed to perform semantic segmentation in computer vision tasks. | 920 |
 hfawaz/dl-4-tsc | This project provides a framework for evaluating and comparing different deep learning architectures for time series classification tasks. | 1,576 |
 jordipons/icassp2017 | Designs efficient architectures for modeling temporal features with deep learning networks | 16 |
 claws-lab/jodie | A PyTorch implementation of a representation learning framework for dynamic temporal networks | 362 |
 benedekrozemberczki/pytorch_geometric_temporal | A PyTorch extension for building temporal graph neural networks with support for recurrent and attention-based models | 2,694 |
 charlotte-pel/temporalcnn | A deep learning-based approach to classifying satellite image time series using convolutional neural networks. | 149 |
 lonl/cdbn | An implementation of Convolutional Deep Belief Networks with various computational methods and GPU acceleration. | 35 |
 juntang-zhuang/laddernet | A deep learning implementation of a multi-path network architecture for medical image segmentation | 140 |
 theduynguyen/keras-fcn | An implementation of fully convolutional neural networks for semantic segmentation using TensorFlow as the backend. | 15 |
 mhjabreel/stf-rnn | Recurrent neural network model for predicting people's next location based on spatial and temporal features | 28 |
 locuslab/trellisnet | This repository presents a novel neural network architecture and its applications in sequence modeling tasks such as language modeling and classification. | 472 |
 damitkwr/esrnn-gpu | A PyTorch implementation of an optimized deep learning model for time series forecasting on GPUs. | 319 |
 aspurdy/dbn | A MATLAB implementation of a deep belief network used for generative learning and visualization of the neural network simulation process. | 48 |