Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper
☆263Oct 24, 2024Updated last year
Alternatives and similar repositories for TransformersCanDoBayesianInference
Users that are interested in TransformersCanDoBayesianInference are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Our maintained PFN repository. Come here to train SOTA PFNs.☆146Jan 21, 2026Updated 4 months ago
- a minimal website to get the diff of llm rewrites☆11Dec 11, 2024Updated last year
- Efficient Bayesian Learning Curve Extrapolation☆22Oct 15, 2024Updated last year
- TuneTables is a tabular classifier that implements prompt tuning for frozen prior-fitted networks.☆24Mar 31, 2025Updated last year
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆14Aug 19, 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.
- [ICLR 2021] Few Shot Bayesian Optimization☆22Oct 17, 2022Updated 3 years ago
- General API for Deep Bayesian Variational Inference by Backpropagation. The repository has been designed to work with Transformers like a…☆45Sep 23, 2020Updated 5 years ago
- ☆16Nov 25, 2022Updated 3 years ago
- Official repository for the paper "Zero-Shot AutoML with Pretrained Models"☆48Dec 29, 2023Updated 2 years ago
- Tabular In-Context Learning☆115Mar 6, 2025Updated last year
- Example code of Sparse Gaussian Process Attention (ICLR 2023)☆26Sep 15, 2025Updated 8 months ago
- ☆14Sep 11, 2022Updated 3 years ago
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆37Jun 16, 2022Updated 3 years ago
- [NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter Configurations☆13Apr 25, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆17Oct 12, 2022Updated 3 years ago
- A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch☆11Jan 5, 2026Updated 5 months ago
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆89Feb 28, 2023Updated 3 years ago
- Code for "On the Expressiveness of Approximate Inference in Bayesian Neural Networks"☆13Aug 16, 2021Updated 4 years ago
- Official implementation of NeurIPS'22 paper "Monte Carlo Tree Search based Variable Selection for High-Dimensional Bayesian Optimization"☆42Mar 6, 2023Updated 3 years ago
- ⚡ TabPFN: Foundation Model for Tabular Data ⚡☆7,295Updated this week
- Gradient-based Hyperparameter Optimization Over Long Horizons☆14Sep 29, 2021Updated 4 years ago
- ☆256Dec 27, 2022Updated 3 years ago
- Official implementation of Transformer Neural Processes☆83Aug 21, 2022Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more☆1,967Oct 20, 2023Updated 2 years ago
- [CVPR 2024] Efficient Hyperparameter Optimization with Adaptive Fidelity Identification☆12Jul 12, 2024Updated last year
- Code for "Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning"☆417Mar 21, 2024Updated 2 years ago
- Bayesian algorithm execution (BAX)☆55Sep 3, 2021Updated 4 years ago
- Bayesian Deep Learning with Stochastic Gradient MCMC Methods☆38Sep 6, 2021Updated 4 years ago
- Pre-trained Gaussian processes for Bayesian optimization☆103Jan 9, 2026Updated 5 months ago
- A python package to design and debug RL agents.☆33Apr 2, 2026Updated 2 months ago
- Learn one, get them all for free☆12Jan 28, 2024Updated 2 years ago
- Optimizing Hyperparameters with Conformal Quantile Regression☆11May 22, 2023Updated 3 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.
- [AAAI 24] GradTree: Gradient-Based Axis-Aligned Decision Trees☆15Aug 28, 2024Updated last year
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,888May 29, 2026Updated last week
- Deep neural network kernel for Gaussian process☆210Sep 8, 2020Updated 5 years ago
- A framework for composing Neural Processes in Python☆90Dec 17, 2024Updated last year
- ☆316Feb 11, 2026Updated 4 months ago
- ☆14Feb 20, 2026Updated 3 months ago
- Laplace approximations for Deep Learning.☆544Apr 22, 2025Updated last year