Alternatives and similar repositories for jz-hydra-submitit-launcher:

Users that are interested in jz-hydra-submitit-launcher are comparing it to the libraries listed below

• zaccharieramzi / submission-scripts
  All the submission scripts used for my work on Jean Zay and the TGCC
  ☆14Updated last year
• yubeic / Sparse-Coding
  This code implements sparse coding in PyTorch with GPU support.
  ☆30Updated 3 years ago
• baumgach / tue-slurm-helloworld
  Instructions and examples to deploy some PyTorch code on slurm using a Singularity Container
  ☆33Updated last year
• francois-rozet / diffusion-priors
  Learning Diffusion Priors from Observations by Expectation Maximization
  ☆20Updated 2 months ago
• IML-DKFZ / m-pax_lib
  ☆10Updated 2 years ago
• alawryaguila / multi-view-AE
  Multi-view-AE: An extensive collection of multi-modal autoencoders implemented in a modular, scikit-learn style framework.
  ☆49Updated 5 months ago
• dccastro / Morpho-MNIST
  Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)
  ☆85Updated last week
• IML-DKFZ / fd-shifts
  A Benchmark for Failure Detection under Distribution Shifts in Image Classification
  ☆30Updated 3 months ago
• akshey-kumar / BunDLe-Net
  Behavioural and Dynamic Learning Network (BunDLe-Net) is an algorithm to learn meaningful coarse-grained representations from time-series…
  ☆13Updated 8 months ago
• balbasty / torch-interpol
  High-order spline interpolation in PyTorch
  ☆66Updated 4 months ago
• vislearn / IB-INN
  Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)
  ☆43Updated 8 months ago
• bsauty / longitudinal-VAEs
  An interpretable progression model for high-dimensional neuroimaging data.
  ☆12Updated last year
• MachineLearningLifeScience / stochman
  Algorithms for computations on random manifolds made easier
  ☆87Updated last year
• scikit-adaptation / skada-bench
  Domain Adaptation benchmark
  ☆22Updated last month
• team-approx-bayes / ivon
  IVON optimizer for neural networks based on variational learning.
  ☆58Updated 2 months ago
• NKI-AI / ece_loss
  A PyTorch implementation of the Exclusive Cross Entropy Loss.
  ☆20Updated 2 years ago
• rbardenet / bml-course
  Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille
  ☆84Updated this week
• 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
• neel-dey / AnyStar
  [WACV 2024] AnyStar: Domain randomized universal star-convex 3D instance segmentation
  ☆14Updated 8 months ago
• nmichlo / disent
  🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervi…
  ☆127Updated last year
• benchopt / benchmark_lasso
  Benchopt benchmark for Lasso
  ☆14Updated last year
• cetmann / iunets
  A fully invertible U-Net for memory efficiency in Pytorch.
  ☆122Updated 2 years ago
• utcsilab / deepinpy
  Deep inverse problems in Python
  ☆57Updated last year
• serre-lab / Harmonization
  👋 Aligning Human & Machine Vision using explainability
  ☆48Updated last year
• loeweX / ComplexAutoEncoder
  Code for the paper: Complex-Valued Autoencoders for Object Discovery
  ☆48Updated last year
• f-dangel / curvlinops
  PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)
  ☆25Updated 2 weeks ago
• paquiteau / snake-fmri
  Simulator for fMRI data
  ☆11Updated this week
• mrirecon / spreco
  ☆19Updated last year
• 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/
  ☆114Updated 6 months ago
• FrederikWarburg / LaplaceAE
  ☆32Updated 2 years ago