Uncertainty estimation on Mnist dataset
☆23Jan 13, 2018Updated 8 years ago
Alternatives and similar repositories for Uncertainty-Mnist-with-Pytorch
Users that are interested in Uncertainty-Mnist-with-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:
- Sharing Deep Learning Research Models with Lightning Part 1: Building A Super Resolution App☆16Jun 30, 2022Updated 3 years ago
- PyTorch implementation of the original evidental-deep-learning@https://github.com/aamini/evidential-deep-learning/☆13Sep 20, 2021Updated 4 years ago
- PyTorch implementation of "Weight Uncertainties in Neural Networks" (Bayes-by-Backprop)☆15Sep 10, 2018Updated 7 years ago
- Uncertainty interpretations of the neural network☆32May 3, 2018Updated 7 years ago
- Original code base for On Pretraining Data Diversity for Self-Supervised Learning☆14Dec 30, 2024Updated last year
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Source code of our paper: An overlapping community detection algorithm based on density peaks☆13Apr 14, 2018Updated 7 years ago
- Edge2vec: Edge-based Social Network Embedding☆14May 12, 2020Updated 5 years ago
- Code for the paper 'Understanding Measures of Uncertainty for Adversarial Example Detection'☆62Jun 3, 2018Updated 7 years ago
- model uncertainty using mc dropout☆21Mar 1, 2019Updated 7 years ago
- Official Tensorflow Code for the paper "Overcomplete Deep Subspace Clustering Networks" - WACV 2021☆13Nov 23, 2020Updated 5 years ago
- ☆14May 11, 2022Updated 3 years ago
- The uncompromising Jupyter notebook formatter.☆14Jan 26, 2024Updated 2 years ago
- 1-step Q Learning from the paper "Asynchronous Methods for Deep Reinforcement Learning"☆12Mar 13, 2017Updated 9 years ago
- Python package for inference with Gaussian processes☆11Mar 25, 2015Updated 11 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Unet based on Wavelet coefficients for segmentation☆12Jan 31, 2020Updated 6 years ago
- ☆27Aug 27, 2025Updated 7 months ago
- This is the official repository for Batch Level Distillation (BLD)☆15Jan 25, 2021Updated 5 years ago
- UAI paper 'Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions'☆11Jun 26, 2019Updated 6 years ago
- ☆12Jun 5, 2015Updated 10 years ago
- ☆23Dec 27, 2023Updated 2 years ago
- Gaussian Process Regression for training data with noisy inputs and/or outputs☆10Mar 22, 2017Updated 9 years ago
- Twin Auxiliary Classifiers GAN (NeurIPS 2019) [Spotlight]☆15Sep 19, 2019Updated 6 years ago
- Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"☆581Feb 26, 2022Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆16Oct 29, 2019Updated 6 years ago
- ☆23Jan 10, 2019Updated 7 years ago
- This is an implement of ACE: Adapting to Changing Environments for Semantic Segmentation☆15Jun 14, 2020Updated 5 years ago
- Simulating human mobility with a trajectory generation framework based on diffusion model☆32Mar 18, 2024Updated 2 years ago
- Evaluating variational inference using Pareto-smoothed importance sampling and simulation-based calibration☆12Jun 8, 2018Updated 7 years ago
- Efficient non-linear PCA through kernel PCA with the Nyström method☆13May 19, 2023Updated 2 years ago
- Experiments from "The Description Length of Deep Learning Models"☆10Aug 1, 2018Updated 7 years ago
- ☆10Jun 14, 2022Updated 3 years ago
- ☆17Mar 17, 2020Updated 6 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.
- Pytorch mnist example☆47Jan 24, 2019Updated 7 years ago
- A high level library on top of machine learning frameworks☆31Sep 29, 2022Updated 3 years ago
- ☆12Dec 6, 2024Updated last year
- Uniform sampling on various geometric shapes☆10Jul 18, 2023Updated 2 years ago
- Code for the indexed convolution☆16Mar 4, 2026Updated 3 weeks ago
- Deploy XGBoost trained models in pure python☆13Feb 22, 2019Updated 7 years ago
- Re-Implementation of Gaussian Process Latent Variable Model algorithm & performance assessment against Kernel-PCA☆14Oct 9, 2024Updated last year