language-planner VS mgpt

Compare language-planner vs mgpt and see what are their differences.

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language-planner mgpt
1 1
227 195
- 0.5%
0.0 3.1
almost 2 years ago 7 months ago
Jupyter Notebook Jupyter Notebook
MIT License GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

language-planner

Posts with mentions or reviews of language-planner. We have used some of these posts to build our list of alternatives and similar projects.

mgpt

Posts with mentions or reviews of mgpt. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing language-planner and mgpt you can also consider the following projects:

gpt-3-simple-tutorial - Generate SQL from Natural Language Sentences using OpenAI's GPT-3 Model

augmented-interpretable-models - Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.

SpeechSuper-API-Samples - Deep learning based speech and pronunciation assessment API for 8 languages.

alpaca_eval - An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.

link-grammar - The CMU Link Grammar natural language parser

tldr-transformers - The "tl;dr" on a few notable transformer papers (pre-2022).

ru-dalle - Generate images from texts. In Russian

BLOOM-fine-tuning - Finetune BLOOM

practical-pytorch - Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

Fast-Transformer - An implementation of Fastformer: Additive Attention Can Be All You Need, a Transformer Variant in TensorFlow

question_generation - Neural question generation using transformers