An attempt to implement the recurrent attention model (RAM) from "Recurrent Models of Visual Attention" (Mnih+ 2014)
☆43Oct 2, 2020Updated 5 years ago
Alternatives and similar repositories for tensorflow_mnist_ram
Users that are interested in tensorflow_mnist_ram are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Recurrent Visual Attention Model☆135Jul 2, 2019Updated 6 years ago
- "Recurrent Models of Visual Attention" in TensorFlow☆41Apr 13, 2017Updated 9 years ago
- Recurrent Models of Visual Attention (RAM) with Chainer☆44Apr 18, 2017Updated 8 years ago
- Apply reinforcement learning to visual attention☆18Oct 13, 2016Updated 9 years ago
- Cluttered MNIST Dataset☆53Mar 27, 2015Updated 11 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- An attempt at implementing ideas in "Learning to Transduce with Unbounded Memory" (http://arxiv.org/abs/1506.02516)☆11Jul 27, 2016Updated 9 years ago
- Recurrent Flow Network for Occupancy Flow☆29Sep 27, 2016Updated 9 years ago
- Universal library for deep reinforcement learning.☆38Apr 15, 2016Updated 10 years ago
- Dynamic memory networks in tensorflow with demo to visualize attention.☆22Mar 8, 2018Updated 8 years ago
- Implementation of our NeurIPS 2019 paper: Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks☆10Dec 16, 2019Updated 6 years ago
- Efficient layer normalization GPU kernel for Tensorflow☆110Mar 26, 2017Updated 9 years ago
- Implementation of Adversarial Autoencoder with Theano☆40Jul 6, 2016Updated 9 years ago
- An implementation of zoneout regularizer on LSTM-RNN by Tensorflow☆24Apr 28, 2017Updated 8 years ago
- ☆13Feb 17, 2018Updated 8 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Implementation of Monte Carlo Word Movers Distance in Python with TensorFlow☆12Sep 12, 2016Updated 9 years ago
- Experiments on cluttered mnist dataset with Tensorflow.☆20Feb 3, 2017Updated 9 years ago
- Spatial Transformer network☆189Sep 23, 2015Updated 10 years ago
- Python implementation of BING Objectness method from "BING: Binarized Normed Gradients for Objectness Estimation at 300fps".☆62Nov 15, 2017Updated 8 years ago
- Caffe: a fast open framework for deep learning.