Pinned Repositories
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
jessezby's Repositories
jessezby/adapt
Awesome Domain Adaptation Python Toolbox
jessezby/ALDA
Code for "Adversarial-Learned Loss for Domain Adaptation"(AAAI2020) in PyTorch.
jessezby/awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
jessezby/baal
Library to enable Bayesian active learning in your research or labeling work.
jessezby/cadgan
ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.
jessezby/DA
Unsupervised Domain Adaptation Papers and Code
jessezby/deeponet
Learning nonlinear operators via DeepONet
jessezby/deeponet-fno
DeepONet & FNO (with practical extensions)
jessezby/DeepONet_pytorch
jessezby/deepxde
A library for scientific machine learning and physics-informed learning
jessezby/DWLSSVR
jessezby/eat_pytorch_in_20_days
Pytorch🍊🍉 is delicious, just eat it! 😋😋
jessezby/eat_tensorflow2_in_30_days
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
jessezby/first-git-test
git test
jessezby/fourier_neural_operator
Use Fourier transform to learn operators in differential equations.
jessezby/hyperopt-sklearn
Hyper-parameter optimization for sklearn
jessezby/neuraluq
jessezby/NN-SVG
Publication-ready NN-architecture schematics.
jessezby/Physics-informed-DeepONets
jessezby/PINO
jessezby/pytorchLightning-SSDAE
jessezby/sciann-applications
A place to share problems solved with SciANN
jessezby/Time-series-prediction
Dynamic prediction of thermal process based on hybrid model
jessezby/TL-DeepONet
Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.
jessezby/TL-PI-DeepONet
jessezby/torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
jessezby/Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
jessezby/Transfer-learning-materials
resource collection for transfer learning!
jessezby/transferlearning
迁移学习代码资料
jessezby/transferlearning-1
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习