jukebox VS gpt-neo

Compare jukebox vs gpt-neo and see what are their differences.


Code for the paper "Jukebox: A Generative Model for Music" (by openai)


An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library. (by EleutherAI)
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jukebox gpt-neo
129 81
7,297 6,158
1.1% -
0.0 7.3
8 months ago almost 2 years ago
Python Python
GNU General Public License v3.0 or later MIT License
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.


Posts with mentions or reviews of jukebox. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-02.


Posts with mentions or reviews of gpt-neo. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-16.

What are some alternatives?

When comparing jukebox and gpt-neo you can also consider the following projects:

gpt-neox - An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.

haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

openchat - OpenChat: Easy to use opensource chatting framework via neural networks

tensorflow - An Open Source Machine Learning Framework for Everyone


mesh-transformer-jax - Model parallel transformers in JAX and Haiku

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

lm-evaluation-harness - A framework for few-shot evaluation of autoregressive language models.

aitextgen - A robust Python tool for text-based AI training and generation using GPT-2.

ultimatevocalremovergui - GUI for a Vocal Remover that uses Deep Neural Networks.

spleeter - Deezer source separation library including pretrained models.

gpt-2 - Code for the paper "Language Models are Unsupervised Multitask Learners"