Sage

Getting Started

User Guide

Overview
Configuration Reference
Downloading Data & Priming Sage
Noise Dataset Generation
Signal Dataset Generation
- IMRPhenomD on GPU
  - Parameters
  - Comparison with LALSuite
- IMRPhenomPv2 on GPU
Whitening Noisy Signals
Multirate Sampling
Optimal Network SNR Estimation
- Output shapes
- SNR-based injection rescaling
BBH Parameter Distributions on GPU
On-the-Fly Data Generation Pipeline
Data Transforms
Network Architectures
Custom Loss Functions
- BCEWithPEregLoss
- BCEWithPEsigmaLoss
Optimisers & Schedulers
Training
Validation
Production Run — Full Code

Learning Guide

Learning Guide
- What Will Be Here
Guide for Complete Beginners
- How to get started with zero programming experience
- What you will need (eventually)

Developer Guide

Reviewer Guide

Reference

Sage

sage.data.primer.get_pretrained

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