visual-semantic-embedding
Image embeddings library
A Python implementation of an image-sentence embedding method using LSTM networks.
Implementation of the image-sentence embedding method described in "Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models"
427 stars
22 watching
126 forks
Language: Python
last commit: about 8 years ago Related projects:
Repository | Description | Stars |
---|---|---|
| An implementation of a deep learning-based image representation learning approach using a modified fully connected layer and transfer learning from VGG16 | 34 |
| Multi-sense word embeddings learned from visual cooccurrences | 25 |
| An implementation of a neural network model for learning efficient sentence representations from text data. | 205 |
| A method to convert word embeddings into sentence representations by applying entropy weights calculated from TFIDF transform. | 9 |
| A project implementing a method to incorporate morphological information into word embeddings using a neural network model | 52 |
| Lets you embed images into markup languages like LaTeX, Markdown or Typst with ease | 542 |
| Learning word embeddings from abstract images to improve language understanding | 19 |
| Code for training universal paraphrastic sentence embeddings and models on semantic similarity tasks | 193 |
| Provides fast and efficient word embeddings for natural language processing. | 223 |
| A Common Lisp library for generating word embeddings using neural network models. | 9 |
| An implementation of a non-parameterized approach for building sentence representations | 19 |
| A Python library toolkit for geospatial machine learning focused on creating embeddings for downstream tasks | 225 |
| A utility class for generating and evaluating document representations using word embeddings. | 54 |
| A codebase for training and using models of sentence embeddings. | 33 |
| Provides pre-trained ELMo representations for multiple languages to improve NLP tasks. | 1,462 |