ONE-PEACE VS ALPRO

Compare ONE-PEACE vs ALPRO and see what are their differences.

ONE-PEACE

A general representation model across vision, audio, language modalities. Paper: ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities (by OFA-Sys)
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ONE-PEACE ALPRO
2 1
850 180
4.4% 0.0%
8.6 0.0
5 months ago over 1 year ago
Python Python
Apache License 2.0 BSD 3-clause "New" or "Revised" 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.

ONE-PEACE

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

ALPRO

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

What are some alternatives?

When comparing ONE-PEACE and ALPRO you can also consider the following projects:

OFA - Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework

DallEval - DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models (ICCV 2023)

Multimodal-GPT - Multimodal-GPT

Awesome-Prompt-Engineering - This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc

EVA - EVA Series: Visual Representation Fantasies from BAAI

InternVideo - Video Foundation Models & Data for Multimodal Understanding

unilm - Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

OpenPrompt - An Open-Source Framework for Prompt-Learning.