mkirchmeyer's Stars
prescient-design/antibody-domainbed
prescient-design/cortex
A Modular Architecture for Deep Learning Systems
a-r-j/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)
mkirchmeyer/ganRegression
mkirchmeyer/DINo
Time- and space-continuous neural PDE forecaster based on INRs and ODEs
yuan-yin/CoDA
Generalizing to New Physical Systems via Context-Informed Dynamics Model
alexrame/diwa
DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization
mkirchmeyer/adaptation-imputation
Unsupervised domain adaptation with non-stochastic missing data
mkirchmeyer/ostar
Official Code for "Mapping conditional distributions for domain adaptation under generalized target shift" - ICLR2022
facebookresearch/DomainBed
DomainBed is a suite to test domain generalization algorithms
alexrame/domainbedresearch
yuan-yin/LEADS
Learning Dynamical Systems that Generalize Across Environments
yangshun/tech-interview-handbook
💯 Curated coding interview preparation materials for busy software engineers
jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
karpathy/pytorch-normalizing-flows
Normalizing flows in PyTorch. Current intended use is education not production.
DiffEqML/torchdyn
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
2prime/ODE-DL
Paper List For Linking ODE and Deep Learning
bayesiains/nflows
Normalizing flows in PyTorch
rtqichen/torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.