Place where folks can contribute to 🤗 community events

Self-explanatory tutorials for different model-agnostic and model-specific XAI methods

This repository contains examples of fine-tuning Harmonized Landsat and Sentinel-2 (HLS) Prithvi foundation model.

Large Language Models (LLMs) tutorials & sample scripts, ft. langchain, openai, llamaindex, gpt, chromadb & pinecone

HPM for Aquostic wave equation

Confident Naturalness Explanation (CNE): A Framework to Explain and Assess Patterns Forming Naturalness in Fennoscandia with Confidence

we use activation maximization and GANs to discover patterns that contributes to the concept of naturalness in satellite imagery

A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.

Dual Discriminator Generative Adversarial Nets

Neural network based solvers for partial differential equations.

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

Deep learning for Engineers - Physics Informed Deep Learning

Physics Informed Neural Network (PINN) for the wave equation.

Notes from the R programming Coursera course