zaccharieramzi / submission-scriptsLinks
All the submission scripts used for my work on Jean Zay and the TGCC
☆14Updated 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☆20Updated 2 years ago
- Benchopt benchmark for ResNet fitting on a classification task☆12Updated last year
- Implementation for Proximal Neural Networks.☆11Updated 3 years ago
- Collaborative documentation for and from Jean Zay users. Official Jean Zay documentation: http://www.idris.fr/eng/jean-zay/☆125Updated last year
- Official implementation of Learning Diffusion Priors from Observations by Expectation Maximization☆28Updated 5 months ago
- Domain adaptation toolbox compatible with scikit-learn and pytorch☆133Updated 3 weeks ago
- Instructions and examples to deploy some PyTorch code on slurm using a Singularity Container☆33Updated 2 years ago
- This code implements sparse coding in PyTorch with GPU support.☆30Updated 4 years ago
- Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)☆89Updated 7 months ago
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆89Updated 6 months ago
- This is an official repository for "Learning topology-preserving data representations" presented at ICLR 2023 conference.☆33Updated 2 years ago
- Scalable python GPU solvers for fused unbalanced gromov-wasserstein optimal transport problems, with routines and examples to align brain…☆42Updated 2 months ago
- Benchmark for Brain Computer Interface methods☆17Updated 7 months ago
- Data Augmentation with Variational Autoencoders (TPAMI)☆140Updated 2 years ago
- Large-scale uncertainty benchmark in deep learning.☆62Updated 3 months ago
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆41Updated last week
- High-order spline interpolation in PyTorch☆68Updated 11 months ago
- Many practical links and some tutorials☆11Updated 6 years ago
- A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation☆29Updated last year
- Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with…☆57Updated 2 years ago
- FFCV-SSL Fast Forward Computer Vision for Self-Supervised Learning.☆207Updated 2 years ago
- Algorithms for computations on random manifolds made easier☆92Updated last year
- Python package to fetch data from the LIBSVM website.☆20Updated 4 months ago
- The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a …☆366Updated last year
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.☆230Updated last month
- A Machine Learning workflow for Slurm.☆150Updated 4 years ago
- Provides everything needed for high performance data loading and augmentation in pytorch.☆319Updated last year
- ☆10Updated 3 years ago
- Code of the paper "Beyond calibration: estimating the grouping loss of modern neural networks" published in ICLR 2023.☆12Updated last year
- Bayesian Uncertainty Quantification by Deep Generative Model☆19Updated 5 years ago