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uber-research avatar

uber-research/PPLM

0
View on GitHub↗
1,154 stars·203 forks·Python·Apache-2.0·8 views

PPLM

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.

Features

  • Neural Natural Language Generation - Listed in the “Neural Natural Language Generation” section of the Awesome Nlg awesome list.

Star history

Star history chart for uber-research/pplmStar history chart for uber-research/pplm

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.

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Projects sharing features with PPLM

These projects share indexed features with PPLM. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • asyml/texarasyml avatar

    asyml/texar

    2,392View on GitHub↗

    Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/

    Pythonbertcasl-projectdata-processing
    View on GitHub↗2,392
  • diegma/graph-2-textdiegma avatar

    diegma/graph-2-text

    153View on GitHub↗

    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.

    Python
    View on GitHub↗153
  • eaglew/paperrobotE

    EagleW/PaperRobot

    0View on GitHub↗

    PaperRobot: Incremental Draft Generation of Scientific Ideas [Sample Output](https://eaglew.github.io/PaperRobot/)

    View on GitHub↗0
  • akanimax/natural-language-summary-generation-from-structured-dataakanimax avatar

    akanimax/natural-language-summary-generation-from-structured-data

    186View on GitHub↗

    Implementation (Personal) of the paper titled "Order-Planning Neural Text Generation From Structured Data". The dataset for this project can be found at -> WikiBio

    Python
    View on GitHub↗186
Compare all 11 related projects→

Frequently asked questions

What does uber-research/pplm do?

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.

What are the main features of uber-research/pplm?

The main features of uber-research/pplm are: Neural Natural Language Generation.

Which projects share features with uber-research/pplm?

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…