ConvSent
by zhegan27
The training code for the EMNLP 2017 paper "Learning Generic Sentence Representations Using Convolutional Neural Networks"
AI summary
Sentence encoder
Trains an autoencoder to learn generic sentence representations using convolutional neural networks
- stars
- 34
- forks
- 10
- watching
- 4
Similar projects
Found by comparing what the projects do, not just their names.
Sentence Embedder
Provides training and testing code for a CNN-based sentence embedding model
Sentence encoder
A software package providing tools to encode and process text data using a specific neural network architecture.
Sentence Encoder
A software framework for learning sentence representations using unsupervised machine learning algorithms
Image Captioning Model
A deep learning framework providing a model architecture and training code for image captioning using semantic compositional networks
CNN Trainer
Trains CNNs using a genetic algorithm for classification problems where one class per sample is allowed.
ConvNet
Provides an implementation of convolutional neural networks in MATLAB.
Semantic Segmentation Network
This code implements a neural network architecture designed to perform semantic segmentation in computer vision tasks.
Sentence Embedder
An implementation of a neural network model for learning efficient sentence representations from text data.
CNN builder
A Python implementation of a Convolutional Neural Network from scratch using NumPy for building CNNs from scratch
Sentence classifier
An implementation of Kim's Convolutional Neural Networks for Sentence Classification in PyTorch
Segmentation algorithm
Deconvolution network architecture for semantic segmentation
wkentaro/fcn218
CNNs library
An implementation of fully convolutional networks in Chainer, a deep learning framework.
Sentence classifier
This project provides an implementation of Kim's sentence convolution code using Lua and Torch for text classification.
Sentence embedding models
A codebase for training and using models of sentence embeddings.
Embedding models
Code for training universal paraphrastic sentence embeddings and models on semantic similarity tasks
