lululxvi's Stars
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
keras-team/keras
Deep Learning for humans
jax-ml/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
PaddlePaddle/Paddle
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)
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
microsoft/nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
OpenMined/PySyft
Perform data science on data that remains in someone else's server
tensorlayer/TensorLayer
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
google/flax
Flax is a neural network library for JAX that is designed for flexibility.
DEAP/deap
Distributed Evolutionary Algorithms in Python
google-deepmind/dm-haiku
JAX-based neural network library
tomgoldstein/loss-landscape
Code for visualizing the loss landscape of neural nets
lululxvi/deepxde
A library for scientific machine learning and physics-informed learning
google-parfait/tensorflow-federated
An open-source framework for machine learning and other computations on decentralized data.
neuraloperator/neuraloperator
Learning in infinite dimension with neural operators.
google-deepmind/optax
Optax is a gradient processing and optimization library for JAX.
chebfun/chebfun
Chebfun: numerical computing with functions.
JuliaDiff/Diffractor.jl
Next-generation AD
PaddlePaddle/PaddleScience
PaddleScience is SDK and library for developing AI-driven scientific computing applications based on PaddlePaddle.
lu-group/deeponet-fno
DeepONet & FNO (with practical extensions)
idrl-lab/idrlnet
IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.
Crunch-UQ4MI/neuraluq
lu-group/gpinn
gPINN: Gradient-enhanced physics-informed neural networks
lu-group/pinn-sampling
Non-adaptive and residual-based adaptive sampling for PINNs
yixiangD/AccurateBG
Patient-specific blood glucose prediction using deep learning, considering the challenges of "small dataset" and "data imbalance"
lu-group/sbinn
SBINN: Systems-biology informed neural network
lu-group/mionet
MIONet: Learning multiple-input operators via tensor product
lu-group/multifidelity-deeponet
Multifidelity DeepONet
lu-group/deeponet-extrapolation
DeepONet extrapolation
dpdclub/OpenRBC_spleen
Open_RBC with application of modeling RBC passing through the spleen