DeepONet extrapolation

Non-adaptive and residual-based adaptive sampling for PINNs

Perform data science on data that remains in someone else's server

An open-source framework for machine learning and other computations on decentralized data.

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

MIONet: Learning multiple-input operators via tensor product

Multifidelity DeepONet

DeepONet & FNO (with practical extensions)

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

gPINN: Gradient-enhanced physics-informed neural networks

PaddleScience is SDK and library for developing AI-driven scientific computing applications based on PaddlePaddle.

SBINN: Systems-biology informed neural network

Optax is a gradient processing and optimization library for JAX.

JAX-based neural network library

A library for scientific machine learning and physics-informed learning

Next-generation AD

Open_RBC with application of modeling RBC passing through the spleen

Distributed Evolutionary Algorithms in Python

Code for visualizing the loss landscape of neural nets

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.

An Open Source Machine Learning Framework for Everyone

Patient-specific blood glucose prediction using deep learning, considering the challenges of "small dataset" and "data imbalance"

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

Deep Learning for humans

Chebfun: numerical computing with functions.

Learning in infinite dimension with neural operators.

Flax is a neural network library for JAX that is designed for flexibility.

Graph Neural Network Library for PyTorch