zaccharieramzi / submission-scripts
All the submission scripts used for my work on Jean Zay and the TGCC
☆14Updated last year
Related projects: ⓘ
- A utility to be able to launch jobs on JZ with reasonable defaults☆17Updated last year
- Instructions and examples to deploy some PyTorch code on slurm using a Singularity Container☆31Updated last year
- A PyTorch implementation of the Exclusive Cross Entropy Loss.☆18Updated 2 years ago
- Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)☆84Updated 2 months ago
- This code implements sparse coding in PyTorch with GPU support.☆27Updated 3 years ago
- Learning Diffusion Priors from Observations by Expectation Maximization☆17Updated last month
- Domain adaptation toolbox compatible with scikit-learn and pytorch☆59Updated last week
- [WACV 2024] AnyStar: Domain randomized universal star-convex 3D instance segmentation☆12Updated 3 months ago
- Dense Steerable Filter CNN☆74Updated last year
- High-order spline interpolation in PyTorch☆65Updated last week
- A flexible template, as a quick setup for deep learning projects in pytorch-lightning☆43Updated 10 months ago
- Scalable python GPU solvers for fused unbalanced gromov-wasserstein optimal transport problems, with routines and examples to align brain…☆37Updated this week
- ☆10Updated 2 years ago
- Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities☆207Updated 4 months ago
- Multi-view-AE: An extensive collection of multi-modal autoencoders implemented in a modular, scikit-learn style framework.☆44Updated last month
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆72Updated 6 months ago
- A Benchmark for Failure Detection under Distribution Shifts in Image Classification☆30Updated 2 months ago
- Stochastic Segmentation Networks☆64Updated 4 years ago
- Bayesian Uncertainty Quantification by Deep Generative Model☆19Updated 4 years ago
- Data Augmentation with Variational Autoencoders (TPAMI)☆136Updated 2 years ago
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆40Updated last year
- HCOMP '22 -- Eliciting and Learning with Soft Labels from Every Annotator☆10Updated last year
- Benchopt benchmark for Lasso☆13Updated last year
- Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)☆42Updated 4 months ago
- Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with…☆50Updated last year
- Apply maximum-entropy diffeomorphisms to images☆9Updated last year
- Revealing Hidden Patterns in Deep Neural Network Feature Space Continuum via Manifold Learning (Nature Communications, 2023)☆14Updated 8 months ago
- ☆36Updated 3 months ago
- Behavioural and Dynamic Learning Network (BunDLe-Net) is an algorithm to learn meaningful coarse-grained representations from time-series…☆12Updated 4 months ago
- Collaborative documentation for and from Jean Zay users. Official Jean Zay documentation: http://www.idris.fr/eng/jean-zay/☆106Updated last month