Quantification of Uncertainty with Adversarial Models
☆29Jul 11, 2023Updated 3 years ago
Alternatives and similar repositories for quam
Users that are interested in quam are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official repository for the paper "Fast Predictive Uncertainty for Classification with Bayesian Deep Networks". Accepted at UAI 2022. htt…☆13May 25, 2022Updated 4 years ago
- SDLG is an efficient method to accurately estimate aleatoric semantic uncertainty in LLMs☆28Jun 7, 2024Updated 2 years ago
- Code for the paper LaM-SLidE - Latent Space Modeling of Spatial Dynamical Systems via Linked Entities☆26May 23, 2025Updated last year
- ☆57Nov 5, 2024Updated last year
- ☆34May 15, 2024Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".☆46Apr 29, 2023Updated 3 years ago
- Official implementation of "How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?", TMLR 2023.☆19Mar 21, 2024Updated 2 years ago
- A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks☆37Oct 31, 2024Updated last year
- ☆25Jul 10, 2023Updated 3 years ago
- Official code for "ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference" (TMLR 2024)☆17Nov 7, 2024Updated last year
- A short introduction to Conformal Prediction methods, with a few examples for classification and regression from the Astrophysical domain…☆14Jul 2, 2024Updated 2 years ago
- Large-scale uncertainty benchmark in deep learning.☆71May 10, 2025Updated last year
- [TPAMI 2025] Revisiting Essential and Non-Essential Settings of Evidential Deep Learning☆26Jun 24, 2025Updated last year
- One Initialization to Rule them All: Fine-tuning via Explained Variance Adaptation☆52Oct 20, 2025Updated 10 months ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Source Code for the ICML 2020 Paper on Uncertainty & Robustness in Deep Learning☆17Aug 28, 2023Updated 3 years ago
- PyTorch implementation of Probabilistic MIMO U-Net☆22Aug 15, 2024Updated 2 years ago
- Experiments with variational autoencoders in Julia☆17Sep 19, 2019Updated 6 years ago
- beta-NLL introduced in our paper "On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks" ICLR 2022☆54Mar 31, 2022Updated 4 years ago
- This repository contains the annotations used for evaluating Unsupervised Domain Adaptation on EPIC Kitchens, with individual kitchens us…☆13Jun 2, 2020Updated 6 years ago
- ☆13Feb 12, 2024Updated 2 years ago
- [ICLR24] Better Neural PDE Solvers Through Data-Free Mesh Movers☆17Mar 20, 2024Updated 2 years ago
- [CVPR 2023] Cascade Evidential Learning for Open-world Weakly-supervised Temporal Action Localization☆12Jul 9, 2024Updated 2 years ago
- E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition☆25Jul 18, 2023Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆14Nov 13, 2023Updated 2 years ago
- Code for utilising VAE as means of doing exact MCMC inference in complex high-dimensional space☆14Jun 20, 2023Updated 3 years ago
- Computing calibrated prediction intervals for neural network regressors☆10May 28, 2019Updated 7 years ago
- [AAAI 24] GradTree: Gradient-Based Axis-Aligned Decision Trees☆15Aug 28, 2024Updated 2 years ago
- A script able to extract ligands from pdb structure(s) and remove them from the original structure. The ligands are identified according …☆15Jul 13, 2022Updated 4 years ago
- [ECCV 2024] Official repository of ECCV 2024 paper: Object-Conditioned Energy-Based Attention Map Alignment in Text-to-Image Diffusion M…☆16May 24, 2025Updated last year
- Probabilistic Circuits in Julia☆10Dec 27, 2023Updated 2 years ago
- Normalized Wasserstein for Mixture Distributions☆11Mar 24, 2023Updated 3 years ago
- Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models☆12Oct 12, 2024Updated last year
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Principal Geodesic Analysis in the Wasserstein space☆10Jun 19, 2018Updated 8 years ago
- Code for Copula conformal prediction paper (ICLR 2024)☆33Aug 11, 2026Updated 3 weeks ago
- ☆11Nov 19, 2025Updated 9 months ago
- Official PyTorch implementation for paper: Energy-Based Sliced Wasserstein Distance☆18Feb 21, 2025Updated last year
- A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)☆53Oct 6, 2023Updated 2 years ago
- Official PyTorch Implementation for CVPR'23 Paper, "The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training"☆20Dec 11, 2023Updated 2 years ago
- String Distances in rust☆14Nov 21, 2022Updated 3 years ago