sru
RNN optimizer
A recurrent neural network implementation optimized for speed and parallelizability
Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)
31 stars
2 watching
6 forks
last commit: over 3 years ago Related projects:
Repository | Description | Stars |
---|---|---|
| An implementation of neural network components and optimization methods for text analysis, including rationales for neural predictions. | 355 |
| A deep learning implementation of a VRNN model for sequential data processing | 282 |
| This library provides an implementation of an algorithm for segmenting and clustering sequential data, learning from examples. | 1,564 |
| An implementation of Faster R-CNN detection framework in PyTorch | 1,816 |
| This repository provides code for training a Faster R-CNN object detection model on DOTA datasets. | 337 |
| A Lua-based library for building and working with recurrent neural networks | 941 |
| A custom implementation of Faster R-CNN with ResNet architecture and Online Hard Example Mining. | 207 |
| A Matlab toolbox providing a flexible implementation of deep learning architectures for sequences learning, including RNNs, LSTMs, and sequence-to-sequence models. | 80 |
| A Python implementation of a character-level Recurrent Neural Network (RNN) text generator using the MXNet Gluon framework. | 58 |
| Repurposes pre-trained neural networks for new classification tasks through adversarial reprogramming of their inputs. | 6 |
| An implementation of a basic recurrent neural network test case in Lua | 3 |
| A demonstration project of a recurrent neural network implemented with Theano | 377 |
| A TensorFlow-based implementation of Faster R-CNN object detection using pre-trained ResNet networks and custom datasets. | 875 |
| Automates the search for optimal neural network configurations in deep learning applications | 468 |
| Real-time visualization of neural network training performance | 418 |