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:
- Agustinus' very opiniated publication-ready plotting library☆69Updated 3 months ago
- Algorithms for computations on random manifolds made easier☆92Updated last year
- Large-scale uncertainty benchmark in deep learning.☆62Updated 3 months ago
- IVON optimizer for neural networks based on variational learning.☆70Updated 9 months ago
- Sketched matrix decompositions for PyTorch☆70Updated 2 weeks ago
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆40Updated 4 months ago
- A Machine Learning workflow for Slurm.☆150Updated 4 years ago
- ☆18Updated last year
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆137Updated 2 months ago
- Materials of the Nordic Probabilistic AI School 2023.☆91Updated last year
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- A PyTorch re-implementation of "Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives"☆18Updated 5 years ago
- A library for uncertainty quantification based on PyTorch☆121Updated 3 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆88Updated last year
- Laplace Redux -- Effortless Bayesian Deep Learning☆42Updated 2 months ago
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆88Updated 6 months ago
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆308Updated 2 months ago
- This repository contains code for applying Riemannian geometry in machine learning.☆77Updated 4 years ago
- Parameter-Free Optimizers for Pytorch☆130Updated last year
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 3 years ago
- Manifold-learning flows (ℳ-flows)☆230Updated 4 years ago
- ☆243Updated 2 years ago
- 🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervi…☆127Updated 2 years ago
- Uncertainty quantification with PyTorch☆369Updated 4 months ago
- ☆54Updated last year
- Transformers with doubly stochastic attention☆47Updated 2 years ago
- Simple (and cheap!) neural network uncertainty estimation☆69Updated 3 months ago
- ☆214Updated 3 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 3 years ago
- Code for our paper: Online Variational Filtering and Parameter Learning☆18Updated 3 years ago