CodeCapypara VS mPLUG-Owl

Compare CodeCapypara vs mPLUG-Owl and see what are their differences.

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CodeCapypara mPLUG-Owl
1 2
94 1,966
- 5.6%
10.0 7.6
about 1 year ago about 2 months ago
Python Python
Apache License 2.0 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.

CodeCapypara

Posts with mentions or reviews of CodeCapypara. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-24.

mPLUG-Owl

Posts with mentions or reviews of mPLUG-Owl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-12.

What are some alternatives?

When comparing CodeCapypara and mPLUG-Owl you can also consider the following projects:

LLaMA-LoRA-Tuner - UI tool for fine-tuning and testing your own LoRA models base on LLaMA, GPT-J and more. One-click run on Google Colab. + A Gradio ChatGPT-like Chat UI to demonstrate your language models.

LLaVA - [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

CodeCapybara - Open-source Self-Instruction Tuning Code LLM

Video-LLaMA - [EMNLP 2023 Demo] Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

example-scalping - A working example algorithm for scalping strategy trading multiple stocks concurrently using python asyncio

ExpertLLaMA - An opensource ChatBot built with ExpertPrompting which achieves 96% of ChatGPT's capability.

example-hftish - Example Order Book Imbalance Algorithm

LLMSurvey - The official GitHub page for the survey paper "A Survey of Large Language Models".

NExT-GPT - Code and models for NExT-GPT: Any-to-Any Multimodal Large Language Model

self-instruct - Aligning pretrained language models with instruction data generated by themselves.

ChatPDF - Chat with any PDF. Easily upload the PDF documents you'd like to chat with. Instant answers. Ask questions, extract information, and summarize documents with AI. Sources included.