wiseodd / laplace-bayesopt
Laplace approximated BNN surrogate for BoTorch
☆8Updated 4 months ago
Alternatives and similar repositories for laplace-bayesopt:
Users that are interested in laplace-bayesopt are comparing it to the libraries listed below
- [ICML 2024] SINGD: KFAC-like Structured Inverse-Free Natural Gradient Descent (http://arxiv.org/abs/2312.05705)☆21Updated 4 months ago
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆35Updated 2 years ago
- Normalizing Flows using JAX☆82Updated last year
- Bayesianize: A Bayesian neural network wrapper in pytorch☆88Updated 10 months ago
- Open source code for EigenGame.☆30Updated last year
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆42Updated last year
- Simple (and cheap!) neural network uncertainty estimation☆61Updated last month
- Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…☆169Updated 3 months ago
- ☆53Updated 7 months ago
- Hessian spectral density estimation in TF and Jax☆122Updated 4 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆19Updated 3 years ago
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆34Updated 2 weeks ago
- Agustinus' very opiniated publication-ready plotting library☆62Updated last month
- Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).☆108Updated 2 years ago
- Benchmark functions for Bayesian optimization☆33Updated last year
- Parameter-Free Optimizers for Pytorch☆122Updated 10 months ago
- [TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivative…☆17Updated last year
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆21Updated 4 years ago
- A library for uncertainty quantification based on PyTorch☆121Updated 3 years ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 5 years ago
- Multiplicative Normalizing Flows in PyTorch.☆24Updated this week
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆26Updated 2 years ago
- Lightning-like training API for JAX with Flax☆38Updated 3 months ago
- Bayesian algorithm execution (BAX)☆49Updated 3 years ago
- ☆36Updated 3 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 2 weeks ago
- Transformers with doubly stochastic attention☆45Updated 2 years ago