Alternatives and similar repositories for submission-scripts

Users that are interested in submission-scripts are comparing it to the libraries listed below

• zaccharieramzi / jz-hydra-submitit-launcher
  A utility to be able to launch jobs on JZ with reasonable defaults
  ☆20Updated 2 years ago
• francois-rozet / diffusion-priors
  Official implementation of Learning Diffusion Priors from Observations by Expectation Maximization
  ☆29Updated 6 months ago
• benchopt / benchmark_resnet_classif
  Benchopt benchmark for ResNet fitting on a classification task
  ☆12Updated 2 years ago
• f-dangel / curvlinops
  PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)
  ☆42Updated this week
• johertrich / Proximal_Neural_Networks
  Implementation for Proximal Neural Networks.
  ☆11Updated 4 years ago
• Ciela-Institute / PQM
  Implemenation of PQMass from Lemos et al. 2024
  ☆15Updated 5 months ago
• scikit-adaptation / skada
  Domain adaptation toolbox compatible with scikit-learn and pytorch
  ☆133Updated 2 weeks ago
• baumgach / tue-slurm-helloworld
  Instructions and examples to deploy some PyTorch code on slurm using a Singularity Container
  ☆33Updated 2 years ago
• jean-zay-users / jean-zay-doc
  Collaborative documentation for and from Jean Zay users. Official Jean Zay documentation: http://www.idris.fr/eng/jean-zay/
  ☆126Updated last year
• zhao-david / CDE-diagnostics
  Diagnostics for Conditional Density Estimators and Bayesian Inference Algorithms
  ☆15Updated 3 years ago
• yubeic / Sparse-Coding
  This code implements sparse coding in PyTorch with GPU support.
  ☆30Updated 4 years ago
• rbardenet / bml-course
  Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille
  ☆90Updated 6 months ago
• mackelab / simformer
  Combination of transformers and diffusion models for flexible all-in-one simulation-based inference
  ☆70Updated 3 months ago
• AlexandreAdam / score_models
  A repository to store state of the art score model architectures
  ☆57Updated last month
• chenlin9 / Gaussianization_Flows
  ☆21Updated 5 years ago
• MachineLearningLifeScience / stochman
  Algorithms for computations on random manifolds made easier
  ☆92Updated last year
• probabilists / lampe
  Likelihood-free AMortized Posterior Estimation with PyTorch
  ☆130Updated last year
• bmucsanyi / untangle
  Large-scale uncertainty benchmark in deep learning.
  ☆63Updated 4 months ago
• bccp / DeepUQ
  Bayesian Uncertainty Quantification by Deep Generative Model
  ☆19Updated 5 years ago
• mila-iqia / ResearchTemplate
  Research Project Template Repository
  ☆34Updated 3 weeks ago
• CUAI / Riemannian-Residual-Neural-Networks
  [NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)
  ☆22Updated last year
• johannbrehmer / manifold-flow
  Manifold-learning flows (ℳ-flows)
  ☆230Updated 4 years ago
• biweidai / SINF
  Sliced Iterative Generator (SIG) & Gaussianizing Iterative Slicing (GIS)
  ☆37Updated 2 years ago
• FabianAltekrueger / patchNR
  Implementation for the paper "PatchNR: Learning from Very Few Images by Patch Normalizing Flow Regularization".
  ☆20Updated last year
• didriknielsen / survae_flows
  Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"
  ☆288Updated 4 years ago
• aleximmer / Laplace
  Laplace approximations for Deep Learning.
  ☆517Updated 5 months ago
• v0lta / Jax-Wavelet-Toolbox
  Differentiable and gpu enabled fast wavelet transforms in JAX.
  ☆45Updated last year
• 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
• LukasRinder / normalizing-flows
  Implementation of normalizing flows in TensorFlow 2 including a small tutorial.
  ☆147Updated 2 months ago
• martin-marek / mini-hmc-jax
  A simple implementation of Hamiltonian Monte Carlo in JAX.
  ☆21Updated last year