torch-bnlstm
Recurrent net
An implementation of a recurrent neural network architecture with batch normalization
Batch-Normalized LSTM (Recurrent Batch Normalization) implementation in Torch.
92 stars
7 watching
17 forks
Language: Lua
last commit: over 10 years agoLinked from 1 awesome list
carpedm20/awesome-torchRelated projects:
| Repository | Description | Stars |
|---|---|---|
 kaishengtai/torch-ntm | An implementation of a Neural Turing Machine model using Torch | 279 |
| iassael/torch-dqn | An implementation of Deep Q-Networks using PyTorch to learn actions in grid world environments | 29 |
 jhkim89/pyramidnet | A Torch implementation of a novel neural network architecture designed to improve the generalization ability of deep image classification models. | 129 |
 aciditeam/torch-models | A collection of Lua implementations of state-of-the-art machine learning models using the Torch framework. | 54 |
 jiasenlu/cdssm | An implementation of a specific deep learning model in PyTorch for natural language processing tasks. | 41 |
 richardassar/samplernn_torch | A Torch implementation of a deep learning model for generating audio from input data | 156 |
 element-research/rnn | A Lua-based library for building and working with recurrent neural networks | 941 |
 retraigo/la-classy | A machine learning module for single layer perceptron models using Rust. | 4 |
 ankane/torch.rb | A Ruby implementation of deep learning libraries inspired by PyTorch. | 739 |
 guillaume-chevalier/har-stacked-residual-bidir-lstms | An implementation of a deep neural network architecture for Human Activity Recognition using stacked residual bidirectional LSTM cells with TensorFlow. | 319 |
 0lnetworkcommunity/libra-legacy-v6 | A reference implementation of a neutral replicated state machine based on the Libra/Diem technologies | 248 |
 l0sg/relational-rnn-pytorch | An implementation of DeepMind's Relational Recurrent Neural Networks (Santoro et al. 2018) in PyTorch for word language modeling | 245 |
 torch/nngraph | Graphical computation library for building neural network architectures | 299 |
 lim0606/caffe-googlenet-bn | Re-implementation of a neural network model with batch normalization and customized training parameters. | 131 |
 emited/variationalrecurrentneuralnetwork | A deep learning implementation of a VRNN model for sequential data processing | 282 |