Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)
☆21Apr 4, 2019Updated 7 years ago
Alternatives and similar repositories for GVIPublic
Users that are interested in GVIPublic are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Gradient-informed particle MCMC methods☆12Jan 29, 2024Updated 2 years ago
- In which I learn about score functions and how they can be used to generate data.☆16Apr 5, 2024Updated 2 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆61Jul 1, 2021Updated 5 years ago
- Exact Hamiltonian Monte Carlo Sampler for Truncated Multivariate Gaussians☆12Feb 11, 2020Updated 6 years ago
- Code that accompanies the paper Guided Deep Kernel Learning☆10Jul 2, 2023Updated 3 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Implementation of Receding Horizon Curiosity Algrithm☆13Mar 24, 2023Updated 3 years ago
- source code for paper "Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models"☆39Jun 20, 2024Updated 2 years ago
- Bayesian and Maximum Likelihood Implementation of the Normalizing Flow Network (NFN): https://arxiv.org/abs/1907.08982☆22Dec 10, 2020Updated 5 years ago
- Implementation of SpliceAI, Illumina's deep neural network to predict variant effects on splicing, in PyTorch.☆15Mar 3, 2023Updated 3 years ago
- Code for utilising VAE as means of doing exact MCMC inference in complex high-dimensional space☆14Jun 20, 2023Updated 3 years ago
- ☆26Oct 3, 2023Updated 2 years ago
- Integrals of Gaussians under linear domain constraints☆15Feb 27, 2020Updated 6 years ago
- Lectures on Quantitative Economics Using JAX☆49Updated this week
- Captcha image generator for Zkaptcha☆14Mar 30, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Sample code for running deterministic variational inference to train Bayesian neural networks☆104Oct 10, 2018Updated 7 years ago
- Blind inverse gamma correction with maximum entropy☆11Dec 8, 2021Updated 4 years ago
- Jax SSM Library☆48Nov 24, 2022Updated 3 years ago
- ☆16May 30, 2023Updated 3 years ago
- ☆10Feb 19, 2019Updated 7 years ago
- Code that accompanies the paper Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning - Accepted to ICML2024☆15May 8, 2025Updated last year
- Estimators for Information Theoretic Functionals using Influence Functions☆11Apr 17, 2016Updated 10 years ago
- Modular pipeline for design assistance. PYPi Package: https://pypi.org/project/vai-lab☆14Dec 22, 2023Updated 2 years ago
- ☆17Jan 5, 2018Updated 8 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆14Oct 8, 2024Updated last year
- Inference Combinators in JAX☆54May 17, 2025Updated last year
- implementations sde-net☆14Dec 8, 2020Updated 5 years ago
- ☆16Sep 8, 2025Updated last year
- LLM pretraining in pure JAX☆16Apr 1, 2026Updated 5 months ago
- OCEAN: Optimal Counterfactual Explanations in Tree Ensembles (ICML 2021)☆36Jul 10, 2026Updated 2 months ago
- Bibtex for various Python science and machine learning software☆35Nov 14, 2022Updated 3 years ago
- This repository is the implementation of Deep Dirichlet Process Mixture Models (UAI 2022)☆15May 19, 2022Updated 4 years ago
- Multi-Modal Mutual Information (MuMMI) Training for Robust Self-Supervised Deep Reinforcement Learning☆13Jun 28, 2022Updated 4 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.
- The companion code for the paper "Variational inference via Wasserstein gradient flows (W-VI) M. Lambert, S. Chewi, F. Bach, S. Bonnabel…☆17Feb 1, 2023Updated 3 years ago
- [WACV21] Code for our paper: Samuel, Atzmon and Chechik, "From Generalized zero-shot learning to long-tail with class descriptors"☆27Apr 6, 2021Updated 5 years ago
- Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits☆11Jun 2, 2021Updated 5 years ago
- ☆12Feb 15, 2024Updated 2 years ago
- ☆21Updated this week
- MoveFormer: a Transformer-based model for step-selection animal movement modelling☆11Aug 5, 2023Updated 3 years ago
- Atmospheric dispersion modeling☆19Aug 24, 2021Updated 5 years ago