Alternatives and similar repositories for tue-slurm-helloworld

Users that are interested in tue-slurm-helloworld are comparing it to the libraries listed below

• andres-fr / skerch
  Sketched linear operations for PyTorch
  ☆100Updated 2 months ago
• f-dangel / curvlinops
  PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)
  ☆61Updated this week
• wiseodd / pub-ready-plots
  Agustinus' very opiniated publication-ready plotting library
  ☆70Updated 8 months ago
• MachineLearningLifeScience / stochman
  Algorithms for computations on random manifolds made easier
  ☆94Updated 2 years ago
• iffsid / DReG-PyTorch
  A PyTorch re-implementation of "Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives"
  ☆18Updated 6 years ago
• y0ast / slurm-for-ml
  A Machine Learning workflow for Slurm.
  ☆152Updated 5 years ago
• team-approx-bayes / ivon
  IVON optimizer for neural networks based on variational learning.
  ☆80Updated last year
• bmucsanyi / untangle
  Large-scale uncertainty benchmark in deep learning.
  ☆64Updated 8 months ago
• andrew-cr / online_var_fil
  Code for our paper: Online Variational Filtering and Parameter Learning
  ☆20Updated 4 years ago
• izmailovpavel / bnn_covariate_shift
  Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"
  ☆33Updated 3 years ago
• probabilists / lampe
  Likelihood-free AMortized Posterior Estimation with PyTorch
  ☆132Updated last year
• runame / laplace-redux
  Laplace Redux -- Effortless Bayesian Deep Learning
  ☆43Updated 7 months ago
• georgiosarvanitidis / geometric_ml
  This repository contains code for applying Riemannian geometry in machine learning.
  ☆78Updated 4 years ago
• akekic / causal-component-analysis
  ☆25Updated 2 years ago
• cooper-org / cooper
  A general-purpose, deep learning-first library for constrained optimization in PyTorch
  ☆151Updated 2 months ago
• lindermanlab / ssm-jax
  Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend
  ☆61Updated last year
• nmichlo / disent
  🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervi…
  ☆132Updated 2 years ago
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆130Updated last year
• MichaelArbel / GeneralizedEBM
  ☆54Updated last year
• conormdurkan / lfi
  Neural likelihood-free methods in PyTorch.
  ☆39Updated 5 years ago
• TorchUQ / torchuq
  A library for uncertainty quantification based on PyTorch
  ☆121Updated 4 years ago
• facebookincubator / flowtorch
  This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…
  ☆311Updated this week
• izmailovpavel / understandingbdl
  ☆251Updated 3 years ago
• rbardenet / bml-course
  Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille
  ☆92Updated 10 months ago
• serre-lab / Lens
  LENS Project
  ☆51Updated last year
• cambridge-mlg / DUN
  Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
  ☆78Updated 2 years ago
• sbi-benchmark / sbibm
  Simulation-based inference benchmark
  ☆108Updated 11 months ago
• fbickfordsmith / epig
  Bayesian active learning with EPIG data acquisition
  ☆35Updated 4 months ago
• microsoft / bayesianize
  Bayesianize: A Bayesian neural network wrapper in pytorch
  ☆91Updated last year
• siplab-gt / VAELLS
  Code for "Variational Autoencoder with Learned Latent Structure"
  ☆34Updated 4 years ago