Alternatives and similar repositories for template-uva-thesis:

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

• jeanfeydy / global-divergences
  MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.
  ☆54Updated 5 years ago
• TorchUQ / torchuq
  A library for uncertainty quantification based on PyTorch
  ☆120Updated 3 years ago
• mlosch / pytorch-stats
  ☆16Updated 7 years ago
• clinicalml / proxy-anchor-regression
  Code for ICML 2021 paper "Regularizing towards Causal Invariance: Linear Models with Proxies" (ICML 2021)
  ☆11Updated 2 years ago
• louaaron / TopologicalDeepLearning
  A collection of Topology Methods in Deep Learning
  ☆16Updated 4 years ago
• federicobergamin / riemannian-laplace-approximation
  Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"
  ☆10Updated last year
• oxcsml / ML_bazaar
  OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.
  ☆92Updated 3 years ago
• fedelopez77 / gyrospd
  GyroSPD: Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices
  ☆18Updated 3 years ago
• dmilios / dirichletGPC
  ☆17Updated 6 years ago
• geomstats / challenge-iclr-2021
  GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021
  ☆49Updated 2 years ago
• balbasty / torch-interpol
  High-order spline interpolation in PyTorch
  ☆66Updated 4 months 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…
  ☆54Updated last year
• SidRama / Longitudinal-VAE
  Python scripts for our model described in http://proceedings.mlr.press/v130/ramchandran21b.html
  ☆10Updated 3 years ago
• AnthonyRentsch / calibrated_regression
  A tutorial for the 2018 paper Accurate Uncertainties for Deep Learning Using Calibrated Regression by Kuleshov et al.
  ☆50Updated 5 years ago
• Alfo5123 / Variational-Sparse-Coding
  Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge
  ☆61Updated last year
• HelmholtzAI-Consultants-Munich / PySDDR
  A python package for semi-structured deep distributional regression
  ☆21Updated 2 years ago
• FrederikWarburg / LaplaceAE
  ☆32Updated 2 years ago
• CoCaLa / causality-tutorial-exercises
  ☆48Updated 10 months ago
• rflamary / OTML_DS3_2018
  Practical sessions for the Optimal Transport and Machine learning course at DS3 2018
  ☆88Updated 6 years ago
• ParthaEth / Regularized_autoencoders-RAE-
  ☆122Updated last year
• egstatsml / arxivsearch
  Pulls papers from arXiv on a weekly basis
  ☆30Updated last year
• acerjan / yale_phd_thesis_template
  Latex template and class files for a Yale PhD thesis.
  ☆14Updated last year
• Timsey / pg_mri
  This repository is the official implementation of: Experimental design for MRI by greedy policy search (NeurIPS, 2020).
  ☆22Updated 2 years ago
• georgiosarvanitidis / geometric_ml
  This repository contains code for applying Riemannian geometry in machine learning.
  ☆77Updated 3 years ago
• izmailovpavel / flowgmm
  ☆146Updated 2 years ago
• nicola-decao / power_spherical
  Pytorch implementation of the Power Spherical distribution
  ☆74Updated 6 months ago
• claying / OTK
  A Pytorch implementation of the optimal transport kernel embedding
  ☆114Updated 3 years ago
• c-hofer / torchph
  The essence of my research, distilled for reusability. Enjoy 🥃!
  ☆62Updated 5 months ago
• siplab-gt / VAELLS
  Code for "Variational Autoencoder with Learned Latent Structure"
  ☆33Updated 3 years ago
• gwgundersen / rflvm
  Random feature latent variable models in Python
  ☆22Updated last year