LLaMA-Adapter
open_flamingo
| LLaMA-Adapter | open_flamingo | |
|---|---|---|
| 2 | 4 | |
| 5,535 | 3,493 | |
| 1.9% | 2.8% | |
| 8.1 | 6.8 | |
| 2 months ago | 7 days ago | |
| Python | Python | |
| GNU General Public License v3.0 only | MIT License |
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LLaMA-Adapter
open_flamingo
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Are there any multimodal AI models I can use to provide a paired text *and* image input, to then generate an expanded descriptive text output? [D]
Maybe the recent OpenFlamingo gives you better results (they have a demo on HF).
- [D] Multi modal for visual qna based on a given image. Need suggestions.
- Open Flamingo: An open-source framework for training large multimodal models
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Announcing OpenFlamingo: An open-source framework for training vision-language models with in-context learning | LAION
Code here: https://github.com/mlfoundations/open_flamingo
What are some alternatives?
LoRA - Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
gpt4all - gpt4all: run open-source LLMs anywhere
Emu - Emu Series: Generative Multimodal Models from BAAI
Otter - 🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.
pykale - Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work!
bench-warmers - DigThatData's Public Brainstorming space
speechbrain - A PyTorch-based Speech Toolkit
chatgpt-telegram-bot - 🤖 A Telegram bot that integrates with OpenAI's official ChatGPT APIs to provide answers, written in Python
icl-ceil - [ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.
LocalAI - :robot: The free, Open Source OpenAI alternative. Self-hosted, community-driven and local-first. Drop-in replacement for OpenAI running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. It allows to generate Text, Audio, Video, Images. Also with voice cloning capabilities.