LAVIS - A One-stop Library for Language-Vision Intelligence

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

Code for ALBEF: a new vision-language pre-training method

Real-time and accurate open-vocabulary end-to-end object detection

Multimodal-GPT

Code for the ICML 2021 (long talk) paper: "ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision"

streamline the fine-tuning process for multimodal models: PaliGemma, Florence-2, and Qwen2-VL

A Multimodal Native Agent Framework for Smart Hardware and More

The implementation of "Prismer: A Vision-Language Model with Multi-Task Experts".

Recent Advances in Vision and Language PreTrained Models (VL-PTMs)

Oscar and VinVL

X-modaler is a versatile and high-performance codebase for cross-modal analytics(e.g., image captioning, video captioning, vision-language pre-training, visual question answering, visual commonsense reasoning, and cross-modal retrieval).

日本語LLMまとめ - Overview of Japanese LLMs

A general representation model across vision, audio, language modalities. Paper: ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities

Codebase for Aria - an Open Multimodal Native MoE

My Reading Lists of Deep Learning and Natural Language Processing

Research code for ECCV 2020 paper "UNITER: UNiversal Image-TExt Representation Learning"

[CVPR 2024 🔥] Grounding Large Multimodal Model (GLaMM), the first-of-its-kind model capable of generating natural language responses that are seamlessly integrated with object segmentation masks.

Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".

[CVPR 2024] Alpha-CLIP: A CLIP Model Focusing on Wherever You Want