RTnn

Getting Started

  • Overview
  • Installation
  • Quick Start

User Guide

  • Neural Architectures
  • Training Strategy
  • Inference Modes

Benchmark

  • Land surface model benchmark
  • Atmosphere entire radiation scheme benchmark
  • RTE reflectance-transmittance per g-point benchmark
  • Gas Optics Benchmark

API Reference

  • RTnn API Reference

Developer Guide

  • Project Structure
  • Testing Philosophy
  • Pre-Push Workflow
RTnn
  • Python Module Index

Python Module Index

r
 
r
- rtnn
    rtnn.dataset
    rtnn.dataset_atm
    rtnn.dataset_odepth
    rtnn.dataset_reftrans
    rtnn.diagnostics
    rtnn.evaluater
    rtnn.logger
    rtnn.main
    rtnn.model_loader
    rtnn.model_utils
    rtnn.models.fcn
    rtnn.models.mlp
    rtnn.models.pinn
    rtnn.models.rnn
    rtnn.models.transformer
    rtnn.utils
    rtnn.version

© Copyright 2026, K. Ardaneh / CNRS / IPSL / Sorbonne University.

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