fKunstner / dataset-downloader
☆13Updated 8 months ago
Alternatives and similar repositories for dataset-downloader:
Users that are interested in dataset-downloader are comparing it to the libraries listed below
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- ☆23Updated 3 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆83Updated 4 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆57Updated 3 years ago
- csl: PyTorch-based Constrained Learning☆12Updated 2 years ago
- Classifier Conditional Independence Test: A CI test that uses a binary classifier (XGBoost) for CI testing☆45Updated last year
- Codes for ICLR 21 paper: Neural Approximate Sufficient Statistics for Implicit Models☆19Updated 2 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆99Updated last year
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 3 years ago
- Fair Empirical Risk Minimization (FERM)☆37Updated 4 years ago
- Density Ratio Estimation via Infinitesimal Classification (AISTATS 2022 Oral)☆19Updated 3 years ago
- Bayesian active learning with EPIG data acquisition☆31Updated last week
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- [NeurIPS DBT 2021] HPO-B☆30Updated this week
- Light-weighted code for Orthogonal Additive Gaussian Processes☆42Updated 8 months ago
- Stochastic Mirror Descent on CIFAR-10☆19Updated 5 years ago
- Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021☆17Updated 2 years ago
- Example Code for paper "Provably Faster Algorithms for Bilevel Optimization"☆15Updated 3 years ago
- A community repository for benchmarking Bayesian methods☆110Updated 3 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆27Updated last year
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago
- Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.☆16Updated 3 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆82Updated 10 months ago
- Wrap around any model to output differentially private prediction sets with finite sample validity on any dataset.☆17Updated last year
- Codes for "Understanding and Accelerating Particle-Based Variational Inference" (ICML-19)☆22Updated 5 years ago
- This repository contains PyTorch implementations of various random feature maps for dot product kernels.☆21Updated 9 months ago
- Repository for "Differentiable Causal Discovery from Interventional Data"☆74Updated 3 years ago
- The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization☆26Updated last year
- Random Fourier Features☆50Updated 7 years ago
- Tilted Empirical Risk Minimization (ICLR '21)☆59Updated last year