Repo for our paper "Repulsive deep ensembles are Bayesian"
☆19Dec 11, 2021Updated 4 years ago
Alternatives and similar repositories for repulsive_ensembles
Users that are interested in repulsive_ensembles are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆11Oct 21, 2022Updated 3 years ago
- All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)☆19Apr 22, 2022Updated 4 years ago
- An efficient method for the conversion from internal to Cartesian coordinates that utilizes the platform-agnostic JAX Python library.☆21Jun 12, 2024Updated 2 years ago
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆17Oct 12, 2022Updated 3 years ago
- Official repository for the paper "Fast Predictive Uncertainty for Classification with Bayesian Deep Networks". Accepted at UAI 2022. htt…☆13May 25, 2022Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆32Nov 13, 2023Updated 2 years ago
- Code for "On the Expressiveness of Approximate Inference in Bayesian Neural Networks"☆13Aug 16, 2021Updated 4 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Jun 17, 2024Updated 2 years ago
- Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds☆26Jan 25, 2024Updated 2 years ago
- A demo of Bayesian neural networks, using SVI and HMC.☆13Sep 12, 2019Updated 6 years ago
- Continual Memorization of Factoids in Large Language Models☆12Nov 20, 2024Updated last year
- “Style Transfer as Data Augmentation: A Case Study on Named Entity Recognition” (EMNLP 2022)☆16Feb 2, 2023Updated 3 years ago
- Improving Transformation Invariance in Contrastive Representation Learning☆12Mar 13, 2021Updated 5 years ago
- Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021☆15Dec 30, 2022Updated 3 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.
- "How to Trust Your Diffusion Models: A Convex Optimization Approach to Conformal Risk Control"☆17Jan 6, 2026Updated 5 months ago
- Script to convert your beautiful draw.io diagrams into tikz-like figures! 📈☆12Mar 8, 2021Updated 5 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆45Jun 6, 2025Updated last year
- Tensorflow implementation of Stein Variational Gradient Descent (SVGD)☆26Jan 13, 2018Updated 8 years ago
- This repository collects supplementary material to study reinforcement learning with a focus on topics covered by the TU Darmstadt IAS le…☆12Feb 11, 2019Updated 7 years ago
- Pytorch code for Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC☆11Mar 1, 2021Updated 5 years ago
- an implementation of latent Dirichlet allocation (LDA) with stochastic variational inference☆19Feb 14, 2017Updated 9 years ago
- Scaling safe exploration to vision control☆14Feb 19, 2025Updated last year
- Step by step code for applying synthetic control to interesting use cases☆11Jul 23, 2020Updated 5 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.
- A python package for semi-structured deep distributional regression☆23Dec 9, 2022Updated 3 years ago
- Code for the paper "Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift"☆23Oct 18, 2023Updated 2 years ago
- Code accompanying the paper "Probabilistic Selection of Inducing Points in Sparse Gaussian Processes".☆24Dec 8, 2022Updated 3 years ago
- ☆157Sep 15, 2022Updated 3 years ago
- Code Repository for the NeurIPS 2022 paper: "Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights".☆18Jul 10, 2024Updated last year
- ☆22Dec 2, 2024Updated last year
- Code release for "Generative Modeling of Weights: Generalization or Memorization?"☆22Apr 9, 2026Updated 2 months ago
- DeepEarth: AI Foundation Model for Planetary Science & Sustainability☆33Jun 22, 2026Updated last week
- Benchmarking suite for MushroomRL Deep RL algorithms☆17Feb 2, 2024Updated 2 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆37Jun 16, 2022Updated 4 years ago
- A GPU-accelerated differentiable fluid simulator written in JAX.☆11Feb 1, 2021Updated 5 years ago
- A collection of algorithms and experiment tools for safe sim to real transfer in robotics.☆28May 19, 2026Updated last month
- Pacmed Labs experiments on uncertainty estimation, focusing on unbalanced tabular data and classification tasks.☆21May 26, 2021Updated 5 years ago
- Laplace approximations for Deep Learning.☆547Apr 22, 2025Updated last year
- Model predictive path integral control in jax☆17Feb 8, 2026Updated 4 months ago
- scalable accelerated optimal control☆19Oct 8, 2022Updated 3 years ago