GitHub topics: recurrent-attention-model

Repositories

kevinzakka/recurrent-visual-attention 📦

A PyTorch Implementation of "Recurrent Models of Visual Attention"

Language: Python - Size: 20.5 MB - Last synced at: about 2 months ago - Pushed at: about 2 years ago - Stars: 473 - Forks: 123

nabla0001/ram

Implementation of the location-guided deep recurrent attention model (LG-DRAM) I developed for my MSc thesis at UCL (2017)

Language: Python - Size: 17.5 MB - Last synced at: 7 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

conan7882/recurrent-attention-model

A TensorFlow implementation of the recurrent models of visual attention

Language: Python - Size: 866 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 19 - Forks: 14

Recurrent Attention Strategy (RAS) improves depth with lightweight attention modules. Experiments show RAS improves performance with minimal parameter and computation cost, outperforming other attention modules.

Language: Python - Size: 686 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

darian-catalin-cucer/recurrent-neural-networks

Recurrent Neural Networks (RNNs) are a type of neural network that process sequential data, such as speech, text, or time-series data. RNNs use feedback connections to maintain a state that can capture information from previous inputs, allowing them to make predictions based on a sequence of inputs.

Language: Kotlin - Size: 1000 Bytes - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0