ECBNN

A collection of AWESOME things about domian adaptation

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.

Brian is a free, open source simulator for spiking neural networks.

A simple and extensible library to create Bayesian Neural Network layers on PyTorch.