mzalaya's Stars
HongtengXu/s-gwl
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching
balcilar/GCNNCourseCodes
Graph Analysis Course Notes
jeanfeydy/geomloss
Geometric loss functions between point clouds, images and volumes
hichamjanati/mtw
Wasserstein regularization for sparse multi-task regression
ContextLab/hypertools
A Python toolbox for gaining geometric insights into high-dimensional data
jlsuarezdiaz/pyDML
Distance Metric Learning Algorithms for Python
mmp2/megaman
megaman: Manifold Learning for Millions of Points
drewwilimitis/Manifold-Learning
Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)
cc-skuehn/Manifold_Learning
Worked examples about manifold learning using sklearn and jupyter
pymanopt/pymanopt
Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation
DistrictDataLabs/yellowbrick
Visual analysis and diagnostic tools to facilitate machine learning model selection.
aldro61/pu-learning
Positive and unlabeled learning wrappers for scikit-learn
roywright/pu_learning
Experiments in positive-unlabeled learning
skolouri/swae
Implementation of the Sliced Wasserstein Autoencoders
dmelis/otalign
Gromov-Wasserstein Alignment of Embeddings
HongtengXu/gwl
Gromov-Wasserstein Learning for Graph Matching and Node Embedding
academicpages/academicpages.github.io
Github Pages template based upon HTML and Markdown for personal, portfolio-based websites.
artix41/awesome-transfer-learning
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
zhaoxin94/awesome-gan
A collection of AWESOME things about GAN
zhaoxin94/awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
barebell/DA
Unsupervised Domain Adaptation Papers and Code
PythonOT/POT
POT : Python Optimal Transport
balcilar/Graph_Signal_Processing
Signal Processing on non-euclidien domain signals
balcilar/Orthonormal-Face-Recognition
L2 Orthonormal Face Recognition Performance under L2 Regularization Term