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: over 5 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
| Provides an implementation of convolutional neural networks in MATLAB. | 98 |
| A MATLAB toolbox implementing Convolutional Neural Networks for computer vision applications. | 1,403 |
| A library implementing a Fully Convolutional Network architecture with Keras support | 202 |
| This project provides an implementation of Kim's sentence convolution code using Lua and Torch for text classification. | 450 |
| A C-based Convolutional Network library for image classification and feature extraction. | 597 |
| A Python framework for building deep learning models with optimized encoding layers and batch normalization. | 2,044 |
| A PyTorch implementation of various deep convolutional networks for efficient training and evaluation on diverse datasets. | 347 |
| A PyTorch library that enables computationally efficient sparse convolutional networks by introducing Submanifold Sparse Convolutions. | 2,067 |
| A deep neural network architecture optimized for image classification on the CIFAR-10 dataset | 246 |
| A Matlab implementation of fully convolutional networks for image segmentation. | 175 |
| Trains an autoencoder to learn generic sentence representations using convolutional neural networks | 34 |
| Develops a PyTorch implementation of an enhanced vision language model | 93 |
| An extension to Torch7's neural network package with experimental modules and optimizations. | 97 |
| An efficient CNN architecture for mobile devices with learned group convolutions and dense connectivity | 694 |
| A JavaScript library for training and deploying neural networks in the browser | 10,902 |