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: about 5 years agoRelated projects:
| Repository | Description | Stars |
|---|---|---|
| taolei87/rcnn | An implementation of neural network components and optimization methods for text analysis, including rationales for neural predictions. | 355 |
 emited/variationalrecurrentneuralnetwork | A deep learning implementation of a VRNN model for sequential data processing | 282 |
 google/uis-rnn | This library provides an implementation of an algorithm for segmenting and clustering sequential data, learning from examples. | 1,564 |
 ruotianluo/pytorch-faster-rcnn | An implementation of Faster R-CNN detection framework in PyTorch | 1,816 |
 jessemelpolio/faster_rcnn_for_dota | This repository provides code for training a Faster R-CNN object detection model on DOTA datasets. | 337 |
 element-research/rnn | A Lua-based library for building and working with recurrent neural networks | 941 |
 eniac-xie/faster-rcnn-resnet | A custom implementation of Faster R-CNN with ResNet architecture and Online Hard Example Mining. | 207 |
 jianbotang/rnn_matlab | A Matlab toolbox providing a flexible implementation of deep learning architectures for sequences learning, including RNNs, LSTMs, and sequence-to-sequence models. | 80 |
 l1aoxingyu/char-rnn-gluon | A Python implementation of a character-level Recurrent Neural Network (RNN) text generator using the MXNet Gluon framework. | 58 |
 paarthneekhara/rnn_adversarial_reprogramming | Repurposes pre-trained neural networks for new classification tasks through adversarial reprogramming of their inputs. | 6 |
 rracinskij/rnntest01 | An implementation of a basic recurrent neural network test case in Lua | 3 |
 gwtaylor/theano-rnn | A demonstration project of a recurrent neural network implemented with Theano | 377 |
 charlesshang/tffrcnn | A TensorFlow-based implementation of Faster R-CNN object detection using pre-trained ResNet networks and custom datasets. | 875 |
 microsoft/archai | Automates the search for optimal neural network configurations in deep learning applications | 468 |
 rewonc/pastalog | Real-time visualization of neural network training performance | 418 |