How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
Notice: This project uses an older version of TensorFlow, and is no longer supported. Please consider using other latest alternatives.
The main features of neural-nuts/image-caption-generator are: Neural Natural Language Generation.
Projects with overlapping indexed features include: akanimax/natural-language-summary-generation-from-structured-data — Implementation (Personal) of the paper titled "Order-Planning Neural Text Generation From Structured Data". The… asyml/texar — Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the… diegma/graph-2-text — This is the code used in the paper Deep Graph Convolutional Encoders for Structured Data to Text Generation by Diego… eaglew/paperrobot — PaperRobot: Incremental Draft Generation of Scientific Ideas [[Sample Output]](https://eaglew.github.io/PaperRobot/). huggingface/transformers — Transformers is a comprehensive library for machine learning that provides a unified interface for training,… kasnerz/lightnlg — A minimalistic codebase for finetuning and interacting with natural language generation models from HuggingFace…
Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/
This is the code used in the paper Deep Graph Convolutional Encoders for Structured Data to Text Generation by Diego Marcheggiani and Laura Perez-Beltrachini.
PaperRobot: Incremental Draft Generation of Scientific Ideas [Sample Output](https://eaglew.github.io/PaperRobot/)
Implementation (Personal) of the paper titled "Order-Planning Neural Text Generation From Structured Data". The dataset for this project can be found at -> WikiBio