baumgach / tue-slurm-helloworld
Instructions and examples to deploy some PyTorch code on slurm using a Singularity Container
☆31Updated last year
Related projects: ⓘ
- Agustinus' very opiniated publication-ready plotting library☆51Updated 2 weeks ago
- IVON optimizer for neural networks based on variational learning.☆45Updated last month
- Algorithms for computations on random manifolds made easier☆82Updated 9 months ago
- Sketched matrix decompositions for PyTorch☆64Updated 4 months ago
- scipy linear operators for the Hessian, Fisher/GGN, and more in PyTorch☆17Updated this week
- A PyTorch re-implementation of "Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives"☆18Updated 5 years ago
- Code for the paper: "Independent mechanism analysis, a new concept?"☆25Updated last year
- Code for "Variational Autoencoder with Learned Latent Structure"☆31Updated 3 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆75Updated 3 years ago
- Code for the paper "Contrastive Learning Inverts the Data Generating Process".☆88Updated last month
- A library for uncertainty quantification based on PyTorch☆118Updated 2 years ago
- ☆52Updated last month
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆40Updated last year
- A Machine Learning workflow for Slurm.☆145Updated 3 years ago
- ☆16Updated 8 months ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated last year
- Normalizing Flows using JAX☆82Updated 9 months ago
- ☆18Updated 11 months ago
- Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)☆72Updated 11 months ago
- ☆31Updated 2 years ago
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆72Updated 6 months ago
- Simple (and cheap!) neural network uncertainty estimation☆47Updated last week
- ☆15Updated 2 weeks ago
- Code for "The Intrinsic Dimension of Images and Its Impact on Learning" - ICLR 2021 Spotlight https://openreview.net/forum?id=XJk19XzGq2J☆63Updated 5 months ago
- Euclidean Wasserstein-2 optimal transportation☆43Updated last year
- This code implements sparse coding in PyTorch with GPU support.☆27Updated 3 years ago
- Source code for my PhD thesis: Backpropagation Beyond the Gradient☆20Updated last year
- Code for our paper: Online Variational Filtering and Parameter Learning☆18Updated 2 years ago
- Transformers with doubly stochastic attention☆40Updated 2 years ago
- 🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervi…☆122Updated last year