hoxo-m / densratio_py
A Python Package for Density Ratio Estimation
☆130Updated last year
Alternatives and similar repositories for densratio_py:
Users that are interested in densratio_py are comparing it to the libraries listed below
- A density ratio estimator package for python using the KLIEP algorithm.☆107Updated 4 years ago
- ☆90Updated last year
- Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data☆179Updated 3 years ago
- Detecting Statistical Interactions from Neural Network Weights☆48Updated 4 years ago
- Package implementing various parametric and nonparametric methods for conditional density estimation☆193Updated last year
- ☆125Updated 3 years ago
- Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)☆58Updated last year
- Sample code for VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data☆14Updated 4 years ago
- Bayesian Deep Learning with Stochastic Gradient MCMC Methods☆38Updated 3 years ago
- TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155☆133Updated last year
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated 8 months ago
- Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"☆244Updated 5 years ago
- Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".☆29Updated 3 years ago
- Python code for tree ensemble interpretation☆83Updated 4 years ago
- Change point detection by using density ratio estimation☆19Updated 7 years ago
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…☆145Updated 2 years ago
- Keras implementation for DASP: Deep Approximate Shapley Propagation (ICML 2019)☆61Updated 5 years ago
- Implementation for "Classification from Pairwise Similarity and Unlabeled Data"☆27Updated 4 years ago
- This is an implementation of direct density ratio estimation by unconstrained Least-Squares Importance Fitting (uLSIF) with python.☆12Updated 9 months ago
- ☆17Updated 4 years ago
- Functional gradient boosting based on residual network perception☆28Updated 4 years ago
- Learning error bars for neural network predictions☆69Updated 5 years ago
- ☆13Updated 5 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆58Updated 3 years ago
- TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199☆195Updated last year
- Library of transfer learners and domain-adaptive classifiers.☆90Updated 6 years ago
- Python codes for weakly-supervised learning☆122Updated 4 years ago
- Official implementation of GPX: Gaussian Process Regression with Interpretable Sample-wise Feature Weights (published on TNNLS)☆17Updated 3 years ago
- Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model☆99Updated 4 months ago
- Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.☆130Updated 4 years ago