baumgach / tue-slurm-helloworldLinks
Instructions and examples to deploy some PyTorch code on slurm using a Singularity Container
☆33Updated 2 years ago
Alternatives and similar repositories for tue-slurm-helloworld
Users that are interested in tue-slurm-helloworld are comparing it to the libraries listed below
Sorting:
- Sketched matrix decompositions for PyTorch☆70Updated last month
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆40Updated last week
- Agustinus' very opiniated publication-ready plotting library☆69Updated 4 months ago
- IVON optimizer for neural networks based on variational learning.☆72Updated 10 months ago
- Algorithms for computations on random manifolds made easier☆92Updated last year
- A PyTorch re-implementation of "Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives"☆18Updated 6 years ago
- A Machine Learning workflow for Slurm.☆150Updated 4 years ago
- Large-scale uncertainty benchmark in deep learning.☆63Updated 4 months ago
- Code for our paper: Online Variational Filtering and Parameter Learning☆18Updated 3 years ago
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆139Updated 3 months ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆90Updated 6 months ago
- This repository contains code for applying Riemannian geometry in machine learning.☆77Updated 4 years ago
- Likelihood-free AMortized Posterior Estimation with PyTorch☆130Updated last year
- Manifold-learning flows (ℳ-flows)☆230Updated 4 years ago
- Code for "The Intrinsic Dimension of Images and Its Impact on Learning" - ICLR 2021 Spotlight https://openreview.net/forum?id=XJk19XzGq2J☆71Updated last year
- ☆54Updated last year
- ☆18Updated last year
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- 🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervi…☆128Updated 2 years ago
- Code for the paper: "Independent mechanism analysis, a new concept?"☆24Updated 2 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆108Updated last year
- Bayesian active learning with EPIG data acquisition☆35Updated last week
- ☆243Updated 2 years ago
- Code for Neural Spline Flows paper☆279Updated 5 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆42Updated 3 months ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆287Updated 4 years ago
- Implementations of Normalizing Flows in Pytorch/Pyro☆19Updated 5 years ago
- Materials of the Nordic Probabilistic AI School 2023.☆90Updated last year
- ☆21Updated 5 years ago