Alternatives and similar repositories for template-uva-thesis

Users that are interested in template-uva-thesis are comparing it to the libraries listed below

• antoninschrab / mmdagg-paper
  Reproducibility code for MMD Aggregated Two-Sample Test, by Schrab, Kim, Albert, Laurent, Guedj and Gretton: https://arxiv.org/abs/2110.1…
  ☆17Updated last year
• jeanfeydy / global-divergences
  MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.
  ☆57Updated 6 years ago
• bmucsanyi / untangle
  Large-scale uncertainty benchmark in deep learning.
  ☆63Updated 5 months ago
• FrederikWarburg / LaplaceAE
  ☆32Updated 3 years ago
• SidRama / Longitudinal-VAE
  Python scripts for our model described in http://proceedings.mlr.press/v130/ramchandran21b.html
  ☆15Updated 4 years ago
• aangelopoulos / im2im-uq
  Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with…
  ☆58Updated 2 years ago
• acerjan / yale_phd_thesis_template
  Latex template and class files for a Yale PhD thesis.
  ☆15Updated 2 years ago
• ndlib / nddiss
  LaTeX style for Notre Dame Dissertations. We will need to continue to keep this available, even after Curate is retired. Or we will nee…
  ☆49Updated 6 months ago
• federicobergamin / riemannian-laplace-approximation
  Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"
  ☆11Updated last year
• c-hofer / torchph
  The essence of my research, distilled for reusability. Enjoy 🥃!
  ☆71Updated last year
• kasparmartens / NeuralDecomposition
  PyTorch implementation of the paper "Neural Decomposition: Functional ANOVA with Variational Autoencoders"
  ☆25Updated 5 years ago
• PythonOT / COOT
  CO-Optimal Transport
  ☆42Updated 4 years ago
• Era-Dorta / tf_mvg
  Multivariate Gaussian distributions for Tensorflow.
  ☆23Updated 5 years ago
• siplab-gt / VAELLS
  Code for "Variational Autoencoder with Learned Latent Structure"
  ☆34Updated 4 years ago
• BorgwardtLab / topological-autoencoders
  Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.
  ☆150Updated 3 years ago
• balbasty / torch-interpol
  High-order spline interpolation in PyTorch
  ☆68Updated last year
• tbepler / spatial-VAE
  Source code for "Explicitly disentangling image content from translation and rotation with spatial-VAE" - NeurIPS 2019
  ☆66Updated 5 years ago
• jdtuck / fdasrsf_python
  elastic fda python code
  ☆53Updated this week
• Leo-Simpson / c-lasso
  c-lasso: a Python package for constrained sparse regression and classification
  ☆32Updated 4 years ago
• CompTop / torch-tda
  Automatic differentiation through persistence diagrams with PyTorch
  ☆17Updated last year
• kilianFatras / minibatch_Wasserstein
  Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".
  ☆13Updated 4 years ago
• izmailovpavel / flowgmm
  ☆148Updated 3 years ago
• vivienseguy / Wasserstein-PCA
  Principal Geodesic Analysis in the Wasserstein space
  ☆10Updated 7 years ago
• lchapel / partial-GW-for-PU
  Contains the code relative to the paper Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning https://arxiv.org/abs…
  ☆20Updated 5 years ago
• bruel-gabrielsson / TopologyLayer
  A Topology Layer for Machine Learning : Persistent Homology + Features for PyTorch
  ☆413Updated last year
• seravee08 / TopoGAN-ECCV2020
  ☆15Updated 4 years ago
• johannbrehmer / manifold-flow
  Manifold-learning flows (ℳ-flows)
  ☆230Updated 4 years ago
• jeanfeydy / geomloss
  Geometric loss functions between point clouds, images and volumes
  ☆655Updated 6 months ago
• vivienseguy / Large-Scale-OT
  Stochastic algorithms for computing Regularized Optimal Transport
  ☆58Updated 7 years ago
• georgiosarvanitidis / geometric_ml
  This repository contains code for applying Riemannian geometry in machine learning.
  ☆78Updated 4 years ago