fKunstner / dataset-downloaderLinks
☆13Updated last year
Alternatives and similar repositories for dataset-downloader
Users that are interested in dataset-downloader are comparing it to the libraries listed below
Sorting:
- code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"☆100Updated 6 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆58Updated 4 years ago
- Evaluating variational inference using Pareto-smoothed importance sampling and simulation-based calibration☆12Updated 7 years ago
- A community repository for benchmarking Bayesian methods☆110Updated 3 years ago
- Bayesian active learning with EPIG data acquisition☆35Updated 2 weeks ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆89Updated 5 years ago
- ☆152Updated 3 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆85Updated 5 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆108Updated last year
- Robust initialisation of inducing points in sparse variational GP regression models.☆33Updated 2 years ago
- Density Ratio Estimation via Infinitesimal Classification (AISTATS 2022 Oral)☆20Updated 3 years ago
- Codes for ICLR 21 paper: Neural Approximate Sufficient Statistics for Implicit Models☆20Updated 3 years ago
- ☆24Updated 3 years ago
- Masked Autoregressive Flow☆217Updated last year
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated last year
- The collection of recent papers about variational inference☆85Updated 5 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆24Updated 2 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆43Updated last year
- Normalizing Flows with a resampled base distribution☆47Updated 3 years ago
- Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆147Updated 2 months ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆26Updated last year
- Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for mod…☆124Updated 9 months ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆42Updated this week
- Mutual information estimators and benchmark☆52Updated 8 months ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆42Updated 3 months ago
- Sequential Neural Likelihood☆42Updated 6 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆57Updated last year
- UAI 2020. Kernel goodness-of-fit tests for conditional density models.☆10Updated 5 years ago