hoxo-m / densratio_pyLinks
Python Package for Density Ratio Estimation
☆131Updated 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.☆108Updated 5 years ago
- Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data☆185Updated 3 years ago
- Package implementing various parametric and nonparametric methods for conditional density estimation☆196Updated 2 years ago
- ☆91Updated 2 years ago
- Sample code for VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data☆16Updated 4 years ago
- Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"☆245Updated 5 years ago
- Implementation for "Classification from Pairwise Similarity and Unlabeled Data"☆27Updated 5 years ago
- Bayesian Deep Learning with Stochastic Gradient MCMC Methods☆39Updated 3 years ago
- TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199☆197Updated 2 years ago
- Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model☆101Updated 10 months ago
- Automated Scalable Bayesian Inference☆131Updated 3 years ago
- Deep Gaussian Processes in Python☆234Updated 4 years ago
- python code for kernel methods☆40Updated 6 years ago
- Bayesian nonparametric machine learning for Python☆228Updated 2 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated last year
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆47Updated 3 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
- Learning error bars for neural network predictions☆71Updated 5 years ago
- ☆124Updated 4 years ago
- A community repository for benchmarking Bayesian methods☆110Updated 3 years ago
- Deep neural network kernel for Gaussian process☆210Updated 4 years ago
- Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)☆59Updated 2 years ago
- ☆14Updated 6 years ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆53Updated 4 years ago
- Code for "Hierarchical Dirichlet-Hawkes process: generative model and inference algorithm", WWW 2017☆36Updated 6 years ago
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆86Updated 2 years ago
- Replication code for the article "Learning Functional Causal Models with Generative Neural Networks"☆100Updated 6 years ago
- ☆40Updated 6 years ago
- This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…☆62Updated last year
- Code for the paper "Bayesian Neural Network Priors Revisited"☆57Updated 4 years ago