Crepe
ConvNet toolkit
A toolkit for building character-level convolutional networks for text classification using Torch 7.
Character-level Convolutional Networks for Text Classification
848 stars
67 watching
223 forks
Language: Lua
last commit: about 7 years agoLinked from 1 awesome list
carpedm20/awesome-torchRelated projects:
| Repository | Description | Stars |
|---|---|---|
 xuzhenqi/cnn | Provides an implementation of convolutional neural networks in MATLAB. | 98 |
 vlfeat/matconvnet | A MATLAB toolbox implementing Convolutional Neural Networks for computer vision applications. | 1,403 |
 jihongju/keras-fcn | A library implementing a Fully Convolutional Network architecture with Keras support | 202 |
 harvardnlp/sent-conv-torch | This project provides an implementation of Kim's sentence convolution code using Lua and Torch for text classification. | 450 |
 sermanet/overfeat | A C-based Convolutional Network library for image classification and feature extraction. | 597 |
 zhanghang1989/pytorch-encoding | A Python framework for building deep learning models with optimized encoding layers and batch normalization. | 2,044 |
 eladhoffer/convnet.pytorch | A PyTorch implementation of various deep convolutional networks for efficient training and evaluation on diverse datasets. | 347 |
 facebookresearch/sparseconvnet | A PyTorch library that enables computationally efficient sparse convolutional networks by introducing Submanifold Sparse Convolutions. | 2,067 |
 nagadomi/kaggle-cifar10-torch7 | A deep neural network architecture optimized for image classification on the CIFAR-10 dataset | 246 |
| vlfeat/matconvnet-fcn | A Matlab implementation of fully convolutional networks for image segmentation. | 175 |
 zhegan27/convsent | Trains an autoencoder to learn generic sentence representations using convolutional neural networks | 34 |
 byungkwanlee/collavo | Develops a PyTorch implementation of an enhanced vision language model | 93 |
 clementfarabet/lua---nnx | An extension to Torch7's neural network package with experimental modules and optimizations. | 97 |
 shichenliu/condensenet | An efficient CNN architecture for mobile devices with learned group convolutions and dense connectivity | 694 |
 karpathy/convnetjs | A JavaScript library for training and deploying neural networks in the browser | 10,902 |