zaccharieramzi / submission-scriptsLinks
All the submission scripts used for my work on Jean Zay and the TGCC
☆15Updated 2 years ago
Alternatives and similar repositories for submission-scripts
Users that are interested in submission-scripts are comparing it to the libraries listed below
Sorting:
- A utility to be able to launch jobs on JZ with reasonable defaults☆19Updated 2 years ago
- Benchopt benchmark for ResNet fitting on a classification task☆12Updated 2 years ago
- Implementation for Proximal Neural Networks.☆11Updated 4 years ago
- Collaborative documentation for and from Jean Zay users. Official Jean Zay documentation: http://www.idris.fr/eng/jean-zay/☆127Updated last week
- Instructions and examples to deploy some PyTorch code on slurm using a Singularity Container☆33Updated 2 years ago
- Official implementation of Learning Diffusion Priors from Observations by Expectation Maximization☆32Updated last month
- Domain adaptation toolbox compatible with scikit-learn and pytorch☆145Updated last month
- Implemenation of PQMass from Lemos et al. 2024☆18Updated 7 months ago
- This code implements sparse coding in PyTorch with GPU support.☆30Updated 4 years ago
- Large-scale uncertainty benchmark in deep learning.☆65Updated 6 months ago
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆59Updated last week
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆92Updated 9 months ago
- Algorithms for computations on random manifolds made easier☆94Updated last year
- Bayesian Uncertainty Quantification by Deep Generative Model☆19Updated 5 years ago
- Differentiable and gpu enabled fast wavelet transforms in JAX.☆47Updated last year
- Combination of transformers and diffusion models for flexible all-in-one simulation-based inference☆74Updated 5 months ago
- A flexible template, as a quick setup for deep learning projects in pytorch-lightning☆48Updated 2 years ago
- Agustinus' very opiniated publication-ready plotting library☆69Updated 6 months ago
- Likelihood-free AMortized Posterior Estimation with PyTorch☆131Updated last year
- This is an official repository for "Learning topology-preserving data representations" presented at ICLR 2023 conference.☆35Updated 2 years ago
- Research Project Template Repository☆36Updated 3 months ago
- IVON optimizer for neural networks based on variational learning.☆72Updated last year
- High-order spline interpolation in PyTorch☆68Updated last year
- Software dev. for data science (Python)☆15Updated 6 months ago
- Code for the intrinsic dimensionality estimate of data representations☆86Updated 5 years ago
- A Machine Learning workflow for Slurm.☆151Updated 4 years ago
- Manifold-learning flows (ℳ-flows)☆231Updated 5 years ago
- A high-dimensional Kolmogorov-Smirnov distance for comparing high dimensional distributions☆27Updated 3 years ago
- A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesi…☆58Updated 2 years ago
- Benchopt benchmark for Lasso☆14Updated 4 months ago