mkirchmeyer

tech-interview-handbook

💯 Curated coding interview preparation materials for busy software engineers

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

DomainBed

DomainBed is a suite to test domain generalization algorithms

torchdyn

A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

pytorch-normalizing-flows

Normalizing flows in PyTorch. Current intended use is education not production.

nflows

Normalizing flows in PyTorch

ODE-DL

Paper List For Linking ODE and Deep Learning

ProteinWorkshop

Benchmarking framework for protein representation learning. Includes a large number of pre-training and downstream task datasets, models and training/task utilities. (ICLR 2024)

DINo

Time- and space-continuous neural PDE forecaster based on INRs and ODEs

cortex

A Modular Architecture for Deep Learning Systems

ganRegression

diwa

DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization

CoDA

Generalizing to New Physical Systems via Context-Informed Dynamics Model

LEADS

Learning Dynamical Systems that Generalize Across Environments

ostar

Official Code for "Mapping conditional distributions for domain adaptation under generalized target shift" - ICLR2022

antibody-domainbed

adaptation-imputation

Unsupervised domain adaptation with non-stochastic missing data

domainbedresearch