A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Technique was originally created by https://twitter.com/advadnoun

Effective prompting for Large Multimodal Models like GPT-4 Vision, LLaVA or CogVLM. 🔥

A Comparative Framework for Multimodal Recommender Systems

An official implementation for "CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval"

[TPAMI 2023] Multimodal Image Synthesis and Editing: The Generative AI Era

Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".

Automated modeling and machine learning framework FEDOT

The Cradle framework is a first attempt at General Computer Control (GCC). Cradle supports agents to ace any computer task by enabling strong reasoning abilities, self-improvment, and skill curation, in a standardized general environment with minimal requirements.

✨✨Woodpecker: Hallucination Correction for Multimodal Large Language Models. The first work to correct hallucinations in MLLMs.

GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest

A CLI tool/python module for generating images from text using guided diffusion and CLIP from OpenAI.

X-VLM: Multi-Grained Vision Language Pre-Training (ICML 2022)

A knowledge base construction engine for richly formatted data

Sequence-to-Sequence Framework in PyTorch

An official implementation for " UniVL: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation"

DANCE: a deep learning library and benchmark platform for single-cell analysis

An open source implementation of "Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning", an all-new multi modal AI that uses just a decoder to generate both text and images

Attention-based multimodal fusion for sentiment analysis

A Survey on multimodal learning research.

This repo contains evaluation code for the paper "MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI"