11 open-source projects similar to neural-nuts/image-caption-generator, ranked by shared indexed features. Tags may describe platforms or build tools rather than the same primary purpose. Check each project’s use case, license, and deployment requirements before treating it as a replacement.
Implementation (Personal) of the paper titled "Order-Planning Neural Text Generation From Structured Data". The dataset for this project can be found at -> WikiBio
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/)
Transformers is a comprehensive library for machine learning that provides a unified interface for training, fine-tuning, and deploying transformer-based models. It supports a wide range of tasks, including text classification, language modeling, question answering, and sequence-to-sequence translation, while offering specialized architectures for both text and vision processing. The framework includes tools for managing the entire model lifecycle, from data preprocessing and tokenization to distributed training and inference. The library features extensive support for model optimization and
A minimalistic codebase for finetuning and interacting with natural language generation models from HuggingFace Transformers using PyTorch Lightning.
A robust Python tool for text-based AI training and generation using OpenAI's GPT-2 and EleutherAI's GPT Neo/GPT-3 architecture.
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code, or quickly train on a text using a pretrained model.
Question Generation using 🤗transformers - Project Details - Initial experiments - answer aware question generation - answer extraction models - Multitask QA-QG - End-to-End question generation (answer agnostic) - Results - Requirements - Usage - Question Generation - Multitask QA-QG -…
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This repository contains code to run the Plug and Play Language Model (PPLM), as described in this blog post and arXiv paper. A demo and Colab notebook are also available.