PyTorch implementation of SNGP as found in https://arxiv.org/pdf/2006.10108.pdf
☆19Sep 29, 2024Updated 2 years ago
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☆11Jan 19, 2022Updated 4 years ago
- This is reimplementation of "Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness" in Pyt…☆53Jul 25, 2021Updated 5 years ago
- This is a fully functioning implementation of the Spectral Normalized Gaussian Process in PyTorch.☆11Aug 17, 2021Updated 5 years ago
- Implementation of: Kristiadi, Agustinus, and Asja Fischer. "Predictive Uncertainty Quantification with Compound Density Networks." (2019)…☆16May 26, 2022Updated 4 years ago
- AM207 project: dissect aleatoric and epistemic uncertainty☆89Dec 20, 2019Updated 6 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Adversarial learning by utilizing model interpretation☆10Oct 19, 2018Updated 8 years ago
- ☆12Aug 25, 2022Updated 4 years ago
- Official Implementation of the CVPR'23 paper 'Regularization of polynomial networks for image recognition'.☆10Jun 8, 2023Updated 3 years ago
- Codes for "Understanding and Accelerating Particle-Based Variational Inference" (ICML-19)☆22Nov 17, 2019Updated 6 years ago
- Multichannel Sleep Spindle Detector for sleep EEG☆12May 24, 2020Updated 6 years ago
- PyTorch implementation of the original evidental-deep-learning@https://github.com/aamini/evidential-deep-learning/☆13Sep 20, 2021Updated 5 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆115Jun 7, 2022Updated 4 years ago
- Explicitly compute the Jacobian matrix of MLP in Pytorch☆10Apr 13, 2020Updated 6 years ago
- ICDM19 - Anomaly Detection / Outlier Detection for Mixed data☆14Dec 6, 2020Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Code accompanying our paper "Finding trainable sparse networks through Neural Tangent Transfer" to be published at ICML-2020.☆13Jun 14, 2020Updated 6 years ago
- Official repository for the paper "ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Clas…☆13Oct 21, 2023Updated 3 years ago
- ☆12May 14, 2021Updated 5 years ago
- ☆12May 25, 2023Updated 3 years ago
- Feasible trust Region Bayesian Optimization (FuRBO)☆13Oct 17, 2025Updated last year
- A pytorch version of hamiltonian monte carlo☆14Jun 26, 2019Updated 7 years ago
- ☆10Apr 16, 2022Updated 4 years ago
- NRPyPN: Validated Post-Newtonian Expressions for Numerical Relativity☆12Oct 19, 2026Updated 2 weeks ago
- Source code for the BMVC-2021 paper "SimReg: Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation".☆16Jan 20, 2022Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- A Bayesian uncertainty quantification toolbox for discrete and continuum models of granular materials. Note that this repository contains…☆12Sep 20, 2023Updated 3 years ago
- An Explainable Neural Network for Fault Diagnosis With a Frequency Activation Map☆15Dec 30, 2021Updated 4 years ago
- A Bayesian Probabilistic Framework for Mechanical Fault Diagnosis☆15Mar 28, 2024Updated 2 years ago
- ☆17May 20, 2024Updated 2 years ago
- using monte carlo dropout to have uncertainty estimation of predictions☆16Nov 12, 2019Updated 6 years ago
- Sparse Neural Network Tools☆12Jul 15, 2024Updated 2 years ago
- Quantum-inspired Hamiltonian Monte Carlo code☆11Nov 24, 2019Updated 6 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆27Mar 12, 2021Updated 5 years ago
- Implementations of different neural network pruning techniques☆14Aug 10, 2023Updated 3 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.
- ☆22Feb 27, 2020Updated 6 years ago
- A Multitask Deep Learning Model for Simultaneous Detection, Segmentation and Classification of Bone Tumors on Radiographs☆24Feb 19, 2025Updated last year
- ☆18May 26, 2026Updated 5 months ago
- An implementation of a neural network training routine using derivative information in Pytorch.☆11Dec 19, 2020Updated 5 years ago
- Code for reproducing experiments on MNIST and CIFAR-10 in paper "Positive-Unlabeled Learning with Non-Negative Risk Estimator".☆21Nov 4, 2022Updated 4 years ago
- Companion code for the self-supervised anomaly detection algorithm proposed in the paper "Detecting Anomalies within Time Series using Lo…☆17Oct 29, 2021Updated 5 years ago
- [MentorMix] "Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels" implemented in the PyTorch version.☆18May 10, 2021Updated 5 years ago