Alternatives and similar repositories for densratio_py

Users that are interested in densratio_py are comparing it to the libraries listed below

• srome / pykliep
  A density ratio estimator package for python using the KLIEP algorithm.
  ☆109Updated 5 years ago
• probabilistic-learning / HI-VAE
  ☆91Updated 2 years ago
• riken-aip / pyHSICLasso
  Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data
  ☆188Updated 3 years ago
• team-approx-bayes / dl-with-bayes
  Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"
  ☆244Updated 5 years ago
• tiskw / random-fourier-features
  Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model
  ☆101Updated last year
• freelunchtheorem / Conditional_Density_Estimation
  Package implementing various parametric and nonparametric methods for conditional density estimation
  ☆197Updated 2 years ago
• topipa / gp-varsel-kl-var
  ☆14Updated 6 years ago
• ratschlab / SOM-VAE
  TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199
  ☆197Updated 2 years ago
• microsoft / VAEM
  Sample code for VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data
  ☆16Updated 4 years ago
• Jianbo-Lab / L2X
  ☆124Updated 4 years ago
• SheffieldML / PyDeepGP
  Deep Gaussian Processes in Python
  ☆236Updated 4 years ago
• oxcsml / kerpy
  python code for kernel methods
  ☆41Updated 6 years ago
• wjmaddox / drbayes
  Code Repo for "Subspace Inference for Bayesian Deep Learning"
  ☆83Updated last year
• levelfour / SU_Classification
  Implementation for "Classification from Pairwise Similarity and Unlabeled Data"
  ☆27Updated 5 years ago
• mtsang / neural-interaction-detection
  Detecting Statistical Interactions from Neural Network Weights
  ☆49Updated 5 years ago
• trevorcampbell / bayesian-coresets
  Automated Scalable Bayesian Inference
  ☆131Updated 3 years ago
• MFreidank / pysgmcmc
  Bayesian Deep Learning with Stochastic Gradient MCMC Methods
  ☆38Updated 4 years ago
• amber0309 / HSIC
  Python code of Hilbert-Schmidt Independence Criterion
  ☆88Updated 3 years ago
• facebookresearch / SingleModelUncertainty
  Learning error bars for neural network predictions
  ☆72Updated 5 years ago
• guilgautier / DPPy
  Python toolbox for sampling Determinantal Point Processes
  ☆236Updated last year
• causalens / cdml-neurips2020
  This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…
  ☆62Updated last year
• charmlab / mace
  Model Agnostic Counterfactual Explanations
  ☆88Updated 3 years ago
• karlnapf / ds3_kernel_testing
  Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"
  ☆26Updated 6 years ago
• AMLab-Amsterdam / CEVAE
  Causal Effect Inference with Deep Latent-Variable Models
  ☆354Updated 5 years ago
• bnpy / bnpy
  Bayesian nonparametric machine learning for Python
  ☆233Updated 2 years ago
• GoudetOlivier / CGNN
  Replication code for the article "Learning Functional Causal Models with Generative Neural Networks"
  ☆100Updated 6 years ago
• OctoberChang / klcpd_code
  Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)
  ☆60Updated 2 years ago
• loeweX / AmortizedCausalDiscovery
  Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data
  ☆219Updated 3 years ago
• Networks-Learning / hdhp.py
  Code for "Hierarchical Dirichlet-Hawkes process: generative model and inference algorithm", WWW 2017
  ☆36Updated 6 years ago
• diviyank / SAM
  Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)
  ☆54Updated 4 years ago