In this repository, I will save my work on Generative AI, Foundation Models and Large Language Models.
The Full Guide to Foundation Models
IBM Technology on Youtube is a great place to start. Why foundation models are a paradigm shift for AI
David Tuia Talk on Vision-Language Models in Remote Sensing
**#### Stable Diffusion Paper Explained
Using Stable Diffusion for Image Generation
Andrew NG Generative AI with Large Language Models
[New] Udemy Natural Language Processing: NLP With Transformers in Python
IBM Generative AI: Foundation Models and Platforms
Edx Databricks: Large Language Models: Foundation Models from the Ground Up
Stanford CS324 - Large Language Models, Stanford University Video
Stanford HAI is a multi-disciplinary institute focused on Foundation models.
Awesome Remote Sensing Foundation Models
Awsome Computer Vision Foundation Models
IBM NASA Geospatial is a foundation model trained on NASA's Earth Observing System Data and Information System (EOSDIS) data. It has Segmentation models like Flood. Their base model is called Prithivi. And they have various fine-tuned models like Flood.
Awsome Vision Language Models for Earth Observation
PRESTO Lightweight, Pre-trained Transformers for Remote Sensing Timeseries
A founddation model based on masked image autoencoders, for remote sensing data. can handle multiple satellite data sources, and also can be inputed with time series data.
Towards Geospatial Foundation Models via Continual Pretraining