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adapt

Awesome Domain Adaptation Python Toolbox

alda

Code for "Adversarial-Learned Loss for Domain Adaptation"(AAAI2020) in PyTorch.

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

baal

Library to enable Bayesian active learning in your research or labeling work.

cadgan

ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.

ceal-mc-dropout

Cost-Efficient Deep Active Learning Using Monte-Carlo Dropout

covariate-shift-adaptation

A Python package for improving machine learning models in non-stationary environments.

covariate-shift-adaption

An example of using a discriminator to correct for a difference in the distributions between the training and test data.

covariateshift

da

Unsupervised Domain Adaptation Papers and Code

deeponet

Learning nonlinear operators via DeepONet

deeponet-fno

DeepONet & FNO (with practical extensions)

deeponet_pytorch

deepxde

A library for scientific machine learning and physics-informed learning

dwlssvr

eat_pytorch_in_20_days

Pytorch🍊🍉 is delicious, just eat it! 😋😋

eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

first-git-test

git test

fourier_neural_operator

Use Fourier transform to learn operators in differential equations.

hyperopt-convnet

Convolutional computer vision architectures that can be tuned by hyperopt.

hyperopt-doc-zh

Github开源项目hyperopt系列的中文文档,以及学习教程等

hyperopt-nnet

Hyperparameter optimization for neural networks

hyperopt-sklearn

Hyper-parameter optimization for sklearn

libtlda

Library of transfer learners and domain-adaptive classifiers.

neuraluq

nn-svg

Publication-ready NN-architecture schematics.

physics-informed-deeponets

pino

pytorchlightning-ssdae

sciann-applications

A place to share problems solved with SciANN