PyTorch implementation of 'Weight Uncertainty in Neural Networks'
☆19Jun 30, 2020Updated 5 years ago
Alternatives and similar repositories for WeightUncertainty
Users that are interested in WeightUncertainty are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆41Apr 11, 2019Updated 7 years ago
- Implementation of Stochastic Gradient Langevin Dynamics☆13Sep 29, 2018Updated 7 years ago
- A simple library to run variational inference on Stan models.☆33Apr 11, 2023Updated 3 years ago
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆37Jun 16, 2022Updated 3 years ago
- official implementation of RoSAS: Deep Semi-supervised Anomaly Detection with Contamination-resilient Continuous Supervision☆12Jul 18, 2023Updated 2 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.
- ☆12Oct 7, 2014Updated 11 years ago
- A pytorch version of hamiltonian monte carlo☆15Jun 26, 2019Updated 6 years ago
- pure java. GitHub文件上传工具，支持批量拖拽，可用于图床、批量上传等用途。仅需Java环境即可运行☆15Apr 15, 2020Updated 5 years ago
- Model Primitive Hierarchical Reinforcement Learning☆13Dec 8, 2022Updated 3 years ago
- Deep Clustering Analysis via Dual Variational Autoencoder with Spherical Latent Embeddings powered by@torch☆12Dec 12, 2021Updated 4 years ago
- Adapt Newson and Krumm's classic 2009 paper, "Hidden Markov Map Matching Through Noise and Sparseness," for particle filters.☆12Apr 11, 2020Updated 6 years ago
- Implemenations of PAE in pytorch☆12Dec 20, 2022Updated 3 years ago
- ☆11Oct 6, 2021Updated 4 years ago
- DIVA: A Dirichlet Process Mixtures Based Incremental Deep Clustering Algorithm via Variational Auto-Encoder☆13Sep 18, 2023Updated 2 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.
- ☆14Mar 24, 2023Updated 3 years ago
- ☆12Jun 26, 2020Updated 5 years ago
- Implementation of a differetiable discrete-time algebraic Riccati equation (DARE) solver in PyTorch.☆11Nov 16, 2022Updated 3 years ago
- ☆11Jan 3, 2024Updated 2 years ago
- ☆11Mar 12, 2026Updated last month
- The official code repository for "Variational Quanvolutional Neural Networks with enhanced image encoding", https://arxiv.org/abs/2106.07…☆13Jun 15, 2021Updated 4 years ago
- This repository is the summary of all of our works for the XLA.☆11Jan 14, 2018Updated 8 years ago
- ☆13Jun 24, 2018Updated 7 years ago
- My thesis project☆10Jun 7, 2021Updated 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.
- R2Plus1D MXNet Implementation☆11Jul 11, 2018Updated 7 years ago
- Spectral-normalized Neural Gaussian Process (SNGP) implementation in PyTorch☆10Jan 19, 2022Updated 4 years ago
- Implementation of Image encoding in FRQI image model and reconstructing the image from the Quantum states,☆14Sep 10, 2020Updated 5 years ago
- Repository for ‘Anomaly Detection and Generation with Diffusion Models: A Survey’.☆35Jun 15, 2025Updated 9 months ago
- The examples from "The Little MLer" in OCaml and ReasonML☆31Apr 14, 2020Updated 5 years ago
- This repository contains the pytorch attempts to replicate the results from the recent DeepMind Paper, "On the Effectiveness of Interval …☆10May 27, 2019Updated 6 years ago
- A MATLAB function library containing encoders, decoders and weight enumerators for Reed-Muller codes.☆11Aug 19, 2023Updated 2 years ago
- Transport code for plasma simulations☆12Mar 27, 2026Updated 2 weeks ago
- Bayesian neural nets trained with Hamiltonian Monte Carlo☆10Sep 28, 2018Updated 7 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.
- This is the Pytorch implementation of paper--Training deep neural-networks using a noise adaptation layer.☆10Apr 18, 2021Updated 4 years ago
- ☆24Oct 21, 2024Updated last year
- " Weight Uncertainty in Neural Networks"☆49Jan 31, 2018Updated 8 years ago
- Bayesian Backprop RNN implementation pytorch https://arxiv.org/abs/1704.02798☆25Jan 23, 2018Updated 8 years ago
- ☆11Oct 25, 2021Updated 4 years ago
- Supporting material for Princeton ORF522☆14Aug 27, 2025Updated 7 months ago
- 1D RANS model simulation at fully developed turbulent channel flow.☆19Jan 20, 2017Updated 9 years ago