ChangYong-Oh / HyperSphereLinks
☆17Updated 6 years ago
Alternatives and similar repositories for HyperSphere
Users that are interested in HyperSphere are comparing it to the libraries listed below
Sorting:
- Code repo for "Function-Space Distributions over Kernels"☆32Updated 4 years ago
- ☆51Updated last year
- gpbo☆25Updated 4 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆16Updated 6 years ago
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆66Updated 5 years ago
- Code repository for Ensemble Bayesian Optimization☆53Updated 6 years ago
- a deep recurrent model for exchangeable data☆34Updated 5 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆82Updated last year
- CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.☆78Updated last year
- Code for the paper "Learning Step-Size Adaptation in CMA-ES"☆11Updated 2 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- Benchmark functions for Bayesian optimization☆37Updated last year
- A clean TensorFlow implementation of Concrete Dropout☆22Updated 7 years ago
- Source code for ICLR 2020 paper: "Learning to Guide Random Search"☆40Updated 11 months ago
- Variational inference for hierarchical dynamical systems☆48Updated last year
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 4 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 7 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago
- ☆26Updated 7 years ago
- Bayesian Deep Learning with Stochastic Gradient MCMC Methods☆39Updated 3 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Code for Fast Information-theoretic Bayesian Optimisation☆16Updated 7 years ago
- ☆59Updated 6 years ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆41Updated 3 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- Autoregressive Energy Machines☆78Updated 2 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆23Updated 5 years ago
- Notebooks for IPAM Tutorial, March 15 2019☆24Updated 6 years ago
- ☆116Updated last year
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆34Updated 3 years ago