hoxo-m / densratio_pyLinks
Python Package for Density Ratio Estimation
☆132Updated 2 years ago
Alternatives and similar repositories for densratio_py
Users that are interested in densratio_py are comparing it to the libraries listed below
Sorting:
- A density ratio estimator package for python using the KLIEP algorithm.☆109Updated 5 years ago
- Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data☆188Updated 4 years ago
- Python and torch-based package implementing various parametric and nonparametric methods for conditional density estimation☆197Updated 2 weeks ago
- ☆91Updated 2 years ago
- Bayesian Deep Learning with Stochastic Gradient MCMC Methods☆38Updated 4 years ago
- Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"☆246Updated 6 years ago
- Learning error bars for neural network predictions☆72Updated 6 years ago
- Python toolbox for sampling Determinantal Point Processes☆236Updated last year
- Deep Gaussian Processes in Python☆236Updated 4 years ago
- python code for kernel methods☆42Updated 7 years ago
- Implementation for "Classification from Pairwise Similarity and Unlabeled Data"☆27Updated 5 years ago
- TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199☆198Updated 2 years ago
- Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model☆103Updated last year
- Automated Scalable Bayesian Inference☆131Updated 4 years ago
- ☆125Updated 4 years ago
- Neural Processes implementation for 1D regression☆64Updated 6 years ago
- Code for "Hierarchical Dirichlet-Hawkes process: generative model and inference algorithm", WWW 2017☆36Updated 7 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated last year
- Bayesian nonparametric machine learning for Python☆234Updated 2 years ago
- Bayesian neural network package☆154Updated 4 years ago
- Replication code for the article "Learning Functional Causal Models with Generative Neural Networks"☆100Updated 6 years ago
- Sample code for VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data☆19Updated 4 years ago
- A community repository for benchmarking Bayesian methods☆112Updated 4 years ago
- Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood☆95Updated 8 years ago
- Model Agnostic Counterfactual Explanations☆88Updated 3 years ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆54Updated 4 years ago
- Conformalized Quantile Regression☆301Updated 3 years ago
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…☆152Updated 3 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆102Updated 7 years ago
- Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)☆62Updated 2 years ago