☆14Sep 11, 2022Updated 3 years ago
Alternatives and similar repositories for bayesfunc
Users that are interested in bayesfunc are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Variational Auto-Regressive Gaussian Processes for Continual Learning☆22Jun 15, 2021Updated 5 years ago
- Kernels, the machine learning ones☆14Mar 6, 2023Updated 3 years ago
- On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification☆21Apr 1, 2022Updated 4 years ago
- Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021☆15Dec 30, 2022Updated 3 years ago
- Example code to speed up GP inference with gradients for high-dimensional inputs.☆14Jul 12, 2021Updated 4 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆37Jun 16, 2022Updated 4 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆25Dec 30, 2021Updated 4 years ago
- A community repository for benchmarking Bayesian methods☆11May 25, 2023Updated 3 years ago
- Gaussian Processes for Sequential Data☆20Dec 12, 2020Updated 5 years ago
- ☆12Jun 5, 2015Updated 11 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆92May 14, 2024Updated 2 years ago
- Featurized Density Ratio Estimation☆20Jul 11, 2021Updated 4 years ago
- Our paper is titled "NUS-IDS at FinCausal 2021: Dependency Tree in Graph Neural Networks for better Cause-Effect Span Detection".☆13Feb 11, 2022Updated 4 years ago
- Risk-averse Heteroscedastic Bayesian Optimization, NeurIPS 2021☆16Jan 11, 2022Updated 4 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.
- Companion code for the paper "Learnable Uncertainty under Laplace Approximations" (UAI 2021).☆19Jun 8, 2021Updated 5 years ago
- Bayesian optimization of discrete sequences☆22Mar 27, 2022Updated 4 years ago
- Scalable Bayes via Barycenter in Wasserstein Space☆10Sep 7, 2017Updated 8 years ago
- Supporting code for "Parallel Streaming Wasserstein Barycenters"☆11Nov 14, 2017Updated 8 years ago
- ☆12Jul 16, 2023Updated 2 years ago
- ☆40Apr 29, 2019Updated 7 years ago
- Bayesian Optimization with Density-Ratio Estimation☆23Dec 26, 2022Updated 3 years ago
- Graph Convolutional Neural Networks for Alzheimer’s Classification with transfer learning and HPC methods☆12Sep 20, 2021Updated 4 years ago
- Random feature latent variable models in Python☆24Jul 23, 2023Updated 2 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.
- [CVPR2019] Synthesizing Environment-Aware Activities via Activity Sketches☆13Oct 3, 2023Updated 2 years ago
- Code for `BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery`, Neurips 2021☆28Oct 26, 2021Updated 4 years ago
- ☆12Jun 17, 2022Updated 4 years ago
- CS 230 Final project. Owned by Soham Gadgil, Sun Woo Kang, and Erick Siavichay-Velasco☆12Sep 30, 2022Updated 3 years ago
- Implements attacks and defenses for machine learning systems☆13May 7, 2017Updated 9 years ago
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆17Oct 12, 2022Updated 3 years ago
- Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018☆14Jul 29, 2019Updated 6 years ago
- ☆14May 30, 2019Updated 7 years ago
- Implementation of MAML in numpy, deriving gradients and implementing backprop manually☆14Nov 15, 2018Updated 7 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.
- ☆10Apr 28, 2017Updated 9 years ago
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆264Oct 24, 2024Updated last year
- ☆12Jun 13, 2023Updated 3 years ago
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆23Dec 9, 2020Updated 5 years ago
- ☆11Jun 17, 2024Updated 2 years ago
- Sampling via Moment Sharing☆11Jul 29, 2015Updated 10 years ago
- Pytorch optimizers implementing Hilbert Constrained Gradient Descent☆19May 9, 2019Updated 7 years ago