☆41Apr 11, 2019Updated 6 years ago
Alternatives and similar repositories for Weight-Uncertainty-in-Neural-Networks
Users that are interested in Weight-Uncertainty-in-Neural-Networks are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PyTorch implementation of 'Weight Uncertainty in Neural Networks'☆19Jun 30, 2020Updated 5 years ago
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆176Apr 12, 2022Updated 3 years ago
- ☆13Mar 16, 2019Updated 7 years ago
- Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.☆1,572Apr 19, 2024Updated last year
- 🤗 [ICLR 2024] Disentangling Time Series Representations via Contrastive based l-Variational Inference☆19Dec 11, 2025Updated 3 months ago
- 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.
- Improving transparency of large language models' reasoning☆15Nov 25, 2025Updated 4 months ago
- Code for the paper "Disentangled Generative Models for Robust Prediction of System Dynamics"☆15May 2, 2023Updated 2 years ago
- Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.☆29May 11, 2021Updated 4 years ago
- TMI 2023: FoPro-KD: Fourier Prompted Effective Knowledge Distillation for Long-Tailed Medical Image Recognition☆11Mar 19, 2024Updated 2 years ago
- 轴承故障数据集☆19Jun 6, 2024Updated last year
- Implementing Bayes by Backprop☆184Mar 25, 2019Updated 7 years ago
- UAI paper 'Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions'☆11Jun 26, 2019Updated 6 years ago
- Reproduce Paper "Federated Learning with Non-IID Data"☆10May 3, 2021Updated 4 years ago
- Companion repository for the paper "Improving Semi-Supervised Learning for Remaining Useful Lifetime Estimation Through Self-Supervision"…☆27Jan 27, 2022Updated 4 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Bayesian Backprop RNN implementation pytorch https://arxiv.org/abs/1704.02798☆25Jan 23, 2018Updated 8 years ago
- A framework to optimize Parameter-Efficient Fine-Tuning for Fairness in Medical Image Analysis☆12Feb 29, 2024Updated 2 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆60Jul 1, 2021Updated 4 years ago
- Bayesian neural nets trained with Hamiltonian Monte Carlo☆10Sep 28, 2018Updated 7 years ago
- [ICML 2024] "Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection"☆15Feb 15, 2025Updated last year
- ☆26May 3, 2025Updated 11 months ago
- ☆10May 15, 2018Updated 7 years ago
- ☆12Dec 3, 2023Updated 2 years ago
- ☆14Sep 15, 2020Updated 5 years ago
- 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.
- PyTorch Implementation of ECCV 2024 OOD-CV Workshop SSB Challenge (Open-Set Recognition Track) - 1st Place☆29Sep 13, 2024Updated last year
- Code for "Function Space Particle Optimization for Bayesian Neural Networks"☆18Oct 26, 2022Updated 3 years ago
- MICCAI 2023 DeCaF Best Paper Award: Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image Classifica…☆15Dec 2, 2023Updated 2 years ago
- Tensorflow implementation of Bayes-by-Backprop algorithm from "Weight uncertainty in neural networks" paper☆14Mar 6, 2019Updated 7 years ago
- ☆19Mar 25, 2025Updated last year
- ☆13Oct 15, 2022Updated 3 years ago
- ☆11Aug 26, 2024Updated last year
- ☆12Oct 16, 2021Updated 4 years ago
- ☆10Apr 20, 2022Updated 3 years ago
- NordVPN Special Discount Offer • AdSave on top-rated NordVPN 1 or 2-year plans with secure browsing, privacy protection, and support for for all major platforms.
- ☆11Aug 10, 2024Updated last year
- Create reliability diagrams to quantify ML calibration.☆10Feb 1, 2022Updated 4 years ago
- Integration examples and utilities for VOT toolkit☆10Feb 18, 2026Updated last month
- An implementation of DecorrelatedBN by tensorflow☆13Jun 30, 2022Updated 3 years ago
- A benchmark suite for Scalable Diverse Model Selection for Accessible Transfer Learning from our NeurIPS 2021 paper.☆15Dec 14, 2022Updated 3 years ago
- Learning Bayesian Network parameters using Expectation-Maximisation☆11Jul 12, 2018Updated 7 years ago
- code for Zagidullin et al 2021 "Comparative analysis of molecular fingerprints in prediction of drug combination effects"☆17Aug 1, 2022Updated 3 years ago