DOFA

Making large AI models cheaper, faster and more accessible

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

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

Long list of geospatial tools and resources

DeepSeek-VL: Towards Real-World Vision-Language Understanding

?? List of satellite image training datasets with annotations for computer vision and deep learning

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

? TabPFN: Foundation Model for Tabular Data ?

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

? 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.