PyTorch implementation of SNGP as found in https://arxiv.org/pdf/2006.10108.pdf
☆17Sep 29, 2024Updated last year
Alternatives and similar repositories for Spectral-normalized-Neural-Gaussian-Process-PyTorch
Users that are interested in Spectral-normalized-Neural-Gaussian-Process-PyTorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Spectral-normalized Neural Gaussian Process (SNGP) implementation in PyTorch☆10Jan 19, 2022Updated 4 years ago
- This is reimplementation of "Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness" in Pyt…☆52Jul 25, 2021Updated 4 years ago
- Adversarial learning by utilizing model interpretation☆10Oct 19, 2018Updated 7 years ago
- Code accompanying our paper "Finding trainable sparse networks through Neural Tangent Transfer" to be published at ICML-2020.☆13Jun 14, 2020Updated 5 years ago
- AM207 project: dissect aleatoric and epistemic uncertainty☆89Dec 20, 2019Updated 6 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.
- Deep anomaly detection with scale learning☆12May 26, 2023Updated 2 years ago
- A pytorch version of hamiltonian monte carlo☆15Jun 26, 2019Updated 6 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆114Jun 7, 2022Updated 3 years ago
- ☆17May 20, 2024Updated last year
- ☆23Nov 23, 2025Updated 4 months ago
- A Bayesian uncertainty quantification toolbox for discrete and continuum models of granular materials. Note that this repository contains…☆12Sep 20, 2023Updated 2 years ago
- 谷歌开源项目Python风格指南与编写简洁可读代码的建议☆13Sep 10, 2021Updated 4 years ago
- ☆17Oct 17, 2023Updated 2 years ago
- ☆13Apr 21, 2023Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- using monte carlo dropout to have uncertainty estimation of predictions☆16Nov 12, 2019Updated 6 years ago
- Sparse Neural Network Tools☆12Jul 15, 2024Updated last year
- An implementation of a neural network training routine using derivative information in Pytorch.☆10Dec 19, 2020Updated 5 years ago
- Bayesian neural nets trained with Hamiltonian Monte Carlo☆10Sep 28, 2018Updated 7 years ago
- ☆21Jun 3, 2024Updated last year
- [MentorMix] "Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels" implemented in the PyTorch version.☆18May 10, 2021Updated 4 years ago
- NRPyPN: Validated Post-Newtonian Expressions for Numerical Relativity☆12Oct 1, 2023Updated 2 years ago
- Code for reproducing experiments on MNIST and CIFAR-10 in paper "Positive-Unlabeled Learning with Non-Negative Risk Estimator".☆21Nov 4, 2022Updated 3 years ago
- MarkupPy - An HTML/XML generator☆11Mar 19, 2025Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- PyTorch implementation of the "Learning an Adaptive Learning Rate Schedule" paper found here: https://arxiv.org/abs/1909.09712.☆12Jan 15, 2020Updated 6 years ago
- A full stack python Flask artificial intelligence project capable of beating the human user in Rock Paper Scissors over 60% of the time u…☆10Mar 24, 2021Updated 5 years ago
- KENN - A Transformer Encoder for Gravitational Waves☆12Sep 29, 2025Updated 6 months ago
- A library for random feature maps in Python.☆17Aug 27, 2020Updated 5 years ago
- NeurIPS paper 'Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis'☆11Oct 28, 2022Updated 3 years ago
- First Open Gravitational-wave Catalog of Compact Binary Mergers from Advanced LIGO's first observing run.☆11Dec 17, 2019Updated 6 years ago
- A Mixture Density Layer for Keras☆10Nov 19, 2017Updated 8 years ago
- Fully nonstationary, heteroscedastic GP for Matlab☆16Jul 25, 2024Updated last year
- Package for data-driven and phenomenological gravitational waveform models☆12Mar 27, 2026Updated 2 weeks 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.
- A collection of Black Box Variational Inference algorithms implemented in an object-oriented Python framework using Autograd.☆11Sep 7, 2018Updated 7 years ago
- Stochastic Gradient Hamiltonian Monte Carlo☆12Nov 16, 2019Updated 6 years ago
- Simple PyTorch profiler that combines DeepSpeed Flops Profiler and TorchInfo☆11Feb 12, 2023Updated 3 years ago
- Numpyro examples in Python notebooks☆11Sep 7, 2020Updated 5 years ago
- Implementation of: Kristiadi, Agustinus, and Asja Fischer. "Predictive Uncertainty Quantification with Compound Density Networks." (2019)…☆16May 26, 2022Updated 3 years ago
- Create reliability diagrams to quantify ML calibration.☆10Feb 1, 2022Updated 4 years ago
- Various estimators of the infinite dimensional exponential family model☆16May 17, 2017Updated 8 years ago