Code for "Function Space Particle Optimization for Bayesian Neural Networks"
☆18Oct 26, 2022Updated 3 years ago
Alternatives and similar repositories for fpovi
Users that are interested in fpovi are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- MATLAB code for Stein Point Markov Chain Monte Carlo.☆13Jul 3, 2019Updated 6 years ago
- Lightweight Bayesian deep learning library for fast prototyping based on PyTorch☆14Feb 24, 2023Updated 3 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆42Nov 29, 2022Updated 3 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆87Jul 19, 2020Updated 5 years ago
- SVGD implementation☆12Jul 23, 2018Updated 7 years ago
- Deploy open-source AI quickly and easily - Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆34May 11, 2023Updated 2 years ago
- Codes for "Understanding MCMC Dynamics as Flows on the Wasserstein Space" (ICML-19)☆12Nov 17, 2019Updated 6 years ago
- Stein Variational Gradient Descent with Matrix-Valued Kernels☆13Dec 4, 2019Updated 6 years ago
- Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds☆26Jan 25, 2024Updated 2 years ago
- My implementation of https://arxiv.org/abs/1910.02600 in pytorch. Based on https://github.com/aamini/evidential-deep-learning☆10Jan 26, 2021Updated 5 years ago
- code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"☆421Mar 21, 2024Updated 2 years ago
- Stochastic Multiple Target Sampling Gradient Descent (NeurIPS 2022)☆13Sep 19, 2022Updated 3 years ago
- Scaling safe exploration to vision control☆14Feb 19, 2025Updated last year
- Unofficial pytorch implementation of miSRGAN, in paper "3D Registration of pre-surgical prostate MRI and histopathology images via super-…☆11Dec 6, 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.
- Implementation of FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning☆20Jan 4, 2024Updated 2 years ago
- A python implementation of discrete optimal transport with a Tsallis entropy regularization.☆14Oct 23, 2023Updated 2 years ago
- Paper: "Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices"☆18Jan 10, 2024Updated 2 years ago
- pytasks is a modular and customizable microservice for running computational tasks on workers and viewing its results through a REST API.☆10Jun 21, 2025Updated 9 months ago
- Refined Direct Preference Optimization with Synthetic Data for Behavioral Alignment of LLMs☆13Feb 13, 2024Updated 2 years ago
- Chinese word segmentation with the neural seq2seq model implement in pytorch☆10Dec 13, 2017Updated 8 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆54Oct 16, 2024Updated last year
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Jul 10, 2018Updated 7 years ago
- ☆14Oct 3, 2024Updated last year
- 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.
- Python and MATLAB code for Stein Variational sampling methods☆28May 25, 2019Updated 6 years ago
- Dynamic Bayesian Multitaper Estimation MATLAB Codes☆13Feb 23, 2018Updated 8 years ago
- Batched Energy-Entropy acquisition for Bayesian Optimization (NeurIPS 2024)☆10Jan 6, 2025Updated last year
- A collection of algorithms and experiment tools for safe sim to real transfer in robotics.☆23Feb 23, 2026Updated last month
- Lagrangian VAE☆28Jul 27, 2018Updated 7 years ago
- This is the microservice server of the SDUOJ.☆23Apr 26, 2023Updated 2 years ago
- Experimental code for the paper 'Finding Convincing Arguments Using Scalable Bayesian Preference Learning'☆12Dec 8, 2022Updated 3 years ago
- Variational inference in Dirichlet process Gaussian mixture model (tensorflow implementation)☆13Oct 8, 2018Updated 7 years ago
- Demonstration of Jackknife Variational Inference for Variational Autoencoders, related to ICLR 2018 paper.☆22Feb 21, 2018Updated 8 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.
- ☆11Jan 28, 2019Updated 7 years ago
- Learning Safety Constraints for Large Language Models (ICML2025)☆34Aug 4, 2025Updated 8 months ago
- Parallel Computing (B-KUL-H03F9A)☆10Jan 20, 2015Updated 11 years ago
- MATLAB SVM toolbox written by Anton Schwaighofer☆13Oct 12, 2015Updated 10 years ago
- Bjontegaard metric calculation. Include BD-PSNR and BD-rate☆13Sep 4, 2024Updated last year
- [NeurIPS 24] Official Implementation (Pytorch) of "Inversion-based Latent Bayesian Optimization"☆10Nov 15, 2024Updated last year
- Code and Datasets for 3D Shape Completion related publications☆15Mar 10, 2026Updated last month