zaccharieramzi / jz-hydra-submitit-launcherLinks
A utility to be able to launch jobs on JZ with reasonable defaults
☆20Updated 2 years ago
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
Sorting:
- All the submission scripts used for my work on Jean Zay and the TGCC☆14Updated last year
- This code implements sparse coding in PyTorch with GPU support.☆30Updated 4 years ago
- Instructions and examples to deploy some PyTorch code on slurm using a Singularity Container☆33Updated 2 years ago
- Simulator for fMRI data☆14Updated 2 months ago
- Scalable python GPU solvers for fused unbalanced gromov-wasserstein optimal transport problems, with routines and examples to align brain…☆41Updated last month
- Official implementation of Learning Diffusion Priors from Observations by Expectation Maximization☆26Updated 2 months ago
- Benchopt benchmark for ResNet fitting on a classification task☆11Updated last year
- Domain Adaptation benchmark☆24Updated 5 months ago
- Multi-view-AE: An extensive collection of multi-modal autoencoders implemented in a modular, scikit-learn style framework.☆53Updated 10 months ago
- High-order spline interpolation in PyTorch☆67Updated 8 months ago
- ☆10Updated 3 years ago
- 🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervi…☆127Updated 2 years ago
- [NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)☆19Updated last year
- Algorithms for computations on random manifolds made easier☆90Updated last year
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆39Updated last month
- ☆13Updated 3 weeks ago
- Code for the paper: Complex-Valued Autoencoders for Object Discovery☆53Updated 2 years ago
- Large-scale uncertainty benchmark in deep learning.☆60Updated 3 weeks ago
- Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)☆43Updated last year
- Library that provides metrics to assess representation quality☆10Updated 4 months ago
- Modular and scalable computational imaging in Python with GPU/out-of-core computing.☆135Updated 2 months ago
- Modular and intuitive Hypernetworks in Pytorch☆35Updated last year
- Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with…☆56Updated 2 years ago
- ☆26Updated 4 months ago
- Mutual information estimators and benchmark☆50Updated 4 months ago
- Many practical links and some tutorials☆11Updated 6 years ago
- Benchmark for Brain Computer Interface methods☆16Updated 4 months ago
- 👋 Aligning Human & Machine Vision using explainability☆52Updated last year
- Implementation of a PyTorch Mutual Information Estimation Toolkit☆18Updated last year
- Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)☆87Updated 4 months ago