guilgautier / DPPyLinks
Python toolbox for sampling Determinantal Point Processes
☆228Updated 9 months ago
Alternatives and similar repositories for DPPy
Users that are interested in DPPy are comparing it to the libraries listed below
Sorting:
- ☆241Updated 2 years ago
- Automated Scalable Bayesian Inference☆131Updated 3 years ago
- Testing Nerual Tangent Kernel (NTK) on small UCI datasets☆81Updated 5 years ago
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆359Updated 5 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- A PyTorch library for two-sample tests☆239Updated 2 years ago
- A community repository for benchmarking Bayesian methods☆110Updated 3 years ago
- Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"☆245Updated 5 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆84Updated 4 years ago
- Code for "Stochastic Optimization of Sorting Networks using Continuous Relaxations", ICLR 2019.☆145Updated 2 years ago
- Masked Autoregressive Flow☆213Updated 10 months ago
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆465Updated last year
- The collection of recent papers about variational inference☆85Updated 5 years ago
- The collection of papers about combining deep learning and Bayesian nonparametrics☆120Updated 5 years ago
- PyTorch re-implementation of parts of "Deep Sets" (NIPS 2017)☆71Updated 7 years ago
- Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"☆423Updated 2 years ago
- Hyperbolic Hierarchical Clustering.☆200Updated last year
- Understanding normalizing flows☆132Updated 5 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆82Updated 11 months ago
- Deep neural network kernel for Gaussian process☆206Updated 4 years ago
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…☆150Updated 2 years ago
- ☆180Updated 5 years ago
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆176Updated 3 years ago
- Deep Neural Decision Trees☆161Updated 3 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆150Updated 6 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆178Updated 3 years ago
- ☆168Updated 10 months ago
- Causal Effect Inference with Deep Latent-Variable Models☆339Updated 4 years ago
- Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"☆127Updated 6 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆272Updated 3 years ago