High-performance physics compiler and PINN engine.
Project description
rippl
The physics compiler for neural networks.
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What it is
rippl is a physics compiler. You write the PDE. rippl solves it. It sits between you and PyTorch — handling residual computation, boundary enforcement, causal training, and adaptive loss balancing so you don't have to.
7 Lines
import rippl
import rippl.nn as nn
model = nn.MLP(in_dim=2, out_dim=1)
engine = rippl.compile(model)
result = rippl.run(domain, equation, engine,
causal=True, adaptive_loss=True, hard_bcs=True)
Install
pip install rippl
Multi-GPU Scaling
Multi-GPU DDP training and advanced 3D mesh ingestion are supported via the rippl-pro plugin architecture.
License
Apache 2.0 — see LICENSE
Project details
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