☆18Sep 3, 2024Updated last year
Alternatives and similar repositories for bud
Users that are interested in bud are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for "Training, Architecture, and Prior for Deterministic Uncertainty Methods" ICLR 2023 Workshop on Trustworthy ML☆12Jun 15, 2023Updated 3 years ago
- ☆12Oct 4, 2023Updated 2 years ago
- PyTorch implementation of Probabilistic MIMO U-Net☆22Aug 15, 2024Updated 2 years ago
- [BMVC 2022] MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks☆35Jun 21, 2024Updated 2 years ago
- ☆35Aug 4, 2022Updated 4 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Official Implementation of MULTI-LANE (Multi Label class incremental learning via summarising pAtch tokeN Embeddings). Published in 3rd C…☆15Feb 20, 2025Updated last year
- Out-of-Distribution detection for segmentation data, using deep nearest neighbors. Presented at the ICCV23 workshop on Uncertainty Quanti…☆15Oct 9, 2023Updated 2 years ago
- Methods used in the paper "Plausible Uncertainties for Human Pose Regression".☆15Aug 13, 2024Updated 2 years ago
- This repository contains an official implementation of LPBNN.☆38Jun 28, 2023Updated 3 years ago
- Code for the paper "Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift"☆23Oct 18, 2023Updated 2 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
- Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…☆25Oct 14, 2024Updated last year
- Apply methods described in "Git Re-basin"-paper [1] to arbitrary models --- [1] Ainsworth et al. (https://arxiv.org/abs/2209.04836)☆16Updated this week
- Official code for "ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference" (TMLR 2024)☆17Nov 7, 2024Updated last year
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- (ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks☆52Dec 14, 2022Updated 3 years ago
- ☆17Jun 18, 2024Updated 2 years ago
- Multi-Agent LLM Evaluation Docs: https://maseval.readthedocs.io/☆37Jul 5, 2026Updated last month
- ☆18Nov 8, 2023Updated 2 years ago
- Code for "Effective Bayesian Heteroscedastic Regression with Deep Neural Networks" (NeurIPS 2023)☆26Mar 21, 2025Updated last year
- Quantification of Uncertainty with Adversarial Models☆29Jul 11, 2023Updated 3 years ago
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆36Apr 26, 2024Updated 2 years ago
- Supplementary material to reproduce "The Unreasonable Effectiveness of Deep Evidential Regression"☆30Nov 28, 2022Updated 3 years ago
- Code for experiments to learn uncertainty☆31Mar 16, 2023Updated 3 years 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.
- 🏠🔍 Auto check for new apartments in Hamburg from various real estate provides☆16Apr 15, 2026Updated 4 months ago
- Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)☆28Nov 28, 2022Updated 3 years ago
- Package to estimate the grouping loss of a classifier, based on the paper "Beyond calibration: estimating the grouping loss of modern neu…☆12Apr 24, 2026Updated 3 months ago
- Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024☆28Sep 3, 2024Updated last year
- Code of the paper "Beyond calibration: estimating the grouping loss of modern neural networks" published in ICLR 2023.☆12Nov 21, 2023Updated 2 years ago
- An official PyTorch implementation of "Regression Prior Networks" for effective runtime uncertainty estimation.☆36Nov 19, 2020Updated 5 years ago
- Code for CVPR 2024 paper - Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning☆31Nov 12, 2024Updated last year
- Computing calibrated prediction intervals for neural network regressors☆10May 28, 2019Updated 7 years ago
- IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)☆44Apr 12, 2023Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆24Sep 12, 2024Updated last year
- This repository contains the code for our paper "Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguo…☆44Apr 25, 2023Updated 3 years ago
- Laplace approximations for Deep Learning.☆550Apr 22, 2025Updated last year
- Code that accompanies the paper Guided Deep Kernel Learning☆10Jul 2, 2023Updated 3 years ago
- ☆47Sep 30, 2025Updated 10 months ago
- Source code for the paper "Do Deep Neural Network Solutions form a Star Domain?"☆11May 26, 2024Updated 2 years ago
- Code for the paper: Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery. ECCV 2024.☆60Nov 3, 2024Updated last year