hakeemtonalli / deep-kernel-learningLinks
Implementation of deep kernels in GPyTorch and Pyro
☆12Updated 5 years ago
Alternatives and similar repositories for deep-kernel-learning
Users that are interested in deep-kernel-learning are comparing it to the libraries listed below
Sorting:
- Implementation of normalizing flows from 1d to Nd☆34Updated 4 years ago
- ☆10Updated 2 years ago
- Heteroscedastic Bayesian Optimisation in Numpy☆22Updated 2 years ago
- Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021☆16Updated 3 years ago
- ☆28Updated 3 years ago
- Bayesian optimization with conformal coverage guarantees☆29Updated 3 years ago
- Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces☆68Updated 3 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆67Updated last year
- Official Implementation of "Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning"☆16Updated 2 years ago
- Code for "Robust Multi-Objective Bayesian Optimization Under Input Noise"☆57Updated 3 years ago
- An elegant adaptive importance sampling algorithms for simulations of multi-modal distributions (NeurIPS'20)☆42Updated 3 years ago
- TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155☆143Updated 2 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆25Updated last year
- ☆156Updated 3 years ago
- Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"☆76Updated 2 years ago
- Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)☆53Updated 6 years ago
- Official Repository of "Graph Mixture Density Networks" (ICML 2021)☆27Updated 3 years ago
- Multi-fidelity Bayesian Optimization via Deep Neural Nets☆35Updated 5 years ago
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆76Updated 3 years ago
- Code repository for Ensemble Bayesian Optimization☆57Updated 6 years ago
- ☆17Updated 5 years ago
- SAASBO: a package for high-dimensional bayesian optimization☆51Updated 4 years ago
- Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model☆103Updated last year
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆42Updated 4 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆76Updated 3 years ago
- Bayesian Optimisation for String Spaces☆24Updated 4 years ago
- Repository for 'Interpretable embeddings from molecular simulations using gaussian mixture variational autoencoders'☆20Updated 6 years ago
- Regression datasets from the UCI repository with standardized test-train splits.☆52Updated 3 years ago
- Code for random Fourier features based on Rahimi and Recht's 2007 paper.☆58Updated 5 years ago
- ☆23Updated 3 years ago