☆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 4 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 3 years ago
- Example code to speed up GP inference with gradients for high-dimensional inputs.☆14Jul 12, 2021Updated 4 years ago
- Repository for paper: "SnAKe: Bayesian Optimization with Pathwise Exploration".☆17Feb 9, 2024Updated 2 years ago
- 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.
- ☆13Jul 25, 2025Updated 8 months ago
- Neural ODE Transformers (ICLR 2025)☆17Sep 6, 2025Updated 6 months ago
- Code for "A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences"☆16Feb 24, 2025Updated last year
- A community repository for benchmarking Bayesian methods☆11May 25, 2023Updated 2 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆22Dec 30, 2021Updated 4 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆92May 14, 2024Updated last year
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆25Dec 19, 2022Updated 3 years ago
- Featurized Density Ratio Estimation☆19Jul 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
- Wordpress hosting with auto-scaling on Cloudways • AdFully Managed hosting built for WordPress-powered businesses that need reliable, auto-scalable hosting. Cloudways SafeUpdates now available.
- (ICML2023) Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes☆17Jul 26, 2023Updated 2 years ago
- Scalable Bayes via Barycenter in Wasserstein Space☆10Sep 7, 2017Updated 8 years ago
- COMS30017 Computational Neuroscience☆11Jan 7, 2022Updated 4 years ago
- ☆13May 30, 2019Updated 6 years ago
- Supporting code for "Parallel Streaming Wasserstein Barycenters"☆10Nov 14, 2017Updated 8 years ago
- ☆12Jul 16, 2023Updated 2 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆67May 9, 2024Updated last year
- A simple implementation of Hamiltonian Monte Carlo in JAX.☆20Feb 8, 2024Updated 2 years ago
- Bayesian Optimization with Density-Ratio Estimation☆23Dec 26, 2022Updated 3 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.
- 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☆23Jul 23, 2023Updated 2 years ago
- A Towers of Hanoi environment in OpenAI Gym Style☆14Jun 6, 2019Updated 6 years ago
- ☆12Jun 17, 2022Updated 3 years ago
- ☆11May 26, 2023Updated 2 years ago
- Neural Arithmetic Logic Units by Trask et al.☆12Apr 10, 2019Updated 6 years ago
- "Oblique Decision Trees from Derivatives of ReLU Networks" (ICLR 2020, previously called "Locally Constant Networks")☆21Apr 27, 2021Updated 4 years ago
- Implements attacks and defenses for machine learning systems☆13May 7, 2017Updated 8 years ago
- Official implementation for the paper "Controlled Sparsity via Constrained Optimization"☆11Aug 10, 2022Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018☆14Jul 29, 2019Updated 6 years ago
- Implementation of MAML in numpy, deriving gradients and implementing backprop manually☆14Nov 15, 2018Updated 7 years ago
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆256Oct 24, 2024Updated last year
- [ICLR 2024] Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data☆71Mar 15, 2026Updated last week
- ☆13Jun 13, 2023Updated 2 years ago
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆22Dec 9, 2020Updated 5 years ago
- Sampling via Moment Sharing☆11Jul 29, 2015Updated 10 years ago