c3se / alvis-introLinks
Introduction tutorial and examples for Alvis
☆42Updated 3 months ago
Alternatives and similar repositories for alvis-intro
Users that are interested in alvis-intro are comparing it to the libraries listed below
Sorting:
- Learn fast, scalable, and calibrated measures of uncertainty using neural networks!☆499Updated 4 years ago
- A curated list of topological deep learning (TDL) resources and links.☆269Updated last month
- Open-source framework for uncertainty and deep learning models in PyTorch☆448Updated last month
- Distance-based Analysis of DAta-manifolds in python☆136Updated last month
- Example of how to use Weights & Biases on Slurm☆118Updated 3 years ago
- Materials of the Nordic Probabilistic AI School 2022.☆180Updated 3 years ago
- Experiment for General E(2)-Equivariant Steerable CNNs☆30Updated 4 years ago
- TopoBench is a Python library designed to standardize benchmarking and accelerate research in Topological Deep Learning☆212Updated this week
- Official repository for the paper "Improving black-box optimization in VAE latent space using decoder uncertainty" (Pascal Notin, José Mi…☆30Updated 2 years ago
- A modular, easy to extend GFlowNet library☆297Updated this week
- ☆177Updated 2 years ago
- Paper list for equivariant neural network☆1,070Updated last year
- A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch☆638Updated 7 months ago
- This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning mo…☆762Updated 3 months ago
- An implementation of 1D, 2D, and 3D positional encoding in Pytorch and TensorFlow☆611Updated last year
- Topological Deep Learning☆298Updated this week
- ☆31Updated 6 months ago
- Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.☆151Updated 3 years ago
- Deep Batch Active Learning for Regression☆71Updated last year
- Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, …☆87Updated 2 years ago
- Simple (and cheap!) neural network uncertainty estimation☆77Updated last month
- Laplace approximations for Deep Learning.☆527Updated 7 months ago
- ☆273Updated 2 years ago
- LaTeX template files for dissertations and theses formatted according to UCLA graduate division's requirements☆13Updated 3 years ago
- Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks (ICML …☆511Updated last month
- A simple pytorch implementation for calculating VAE loss components and annealing KLD loss while training VAEs, especially RNN-based☆20Updated 11 months ago
- Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch☆510Updated 11 months ago
- ☆212Updated 9 months ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78Updated 3 years ago
- Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/☆481Updated last year