luiscarlosgph / t-Student-Mixture-Models
Implementation of the paper: 'Robust mixture modelling using the t distribution', D. Peel and G. J. McLachlan.
☆29Updated last year
Alternatives and similar repositories for t-Student-Mixture-Models:
Users that are interested in t-Student-Mixture-Models are comparing it to the libraries listed below
- Multi-task regression in Python☆26Updated 3 years ago
- REGAIN (Regularised Graphical Inference)☆29Updated last year
- Hierarchical Change-Point Detection☆14Updated 6 years ago
- ☆39Updated 5 years ago
- This is a Python package wrapper around the C solver for the l1 trend filtering algorithm written by Kwangmoo Koh, Seung-Jean Kim and Ste…☆20Updated 6 years ago
- ☆12Updated 7 years ago
- Codes for 'Stationary Activations for Uncertainty Calibration in Deep Learning' (NeurIPS 2020)☆11Updated 4 years ago
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆46Updated last year
- Group Lasso implementation following the scikit-learn API☆106Updated 7 months ago
- PyTorch implementation of the Covariate-GPLVM☆26Updated 4 years ago
- Continual Gaussian Processes☆32Updated last year
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆26Updated 11 months ago
- Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"☆26Updated 5 years ago
- Conditional probability, conditional entropy, and mutual information estimation in Python. https://arxiv.org/abs/1907.00325☆12Updated 4 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆62Updated this week
- A Pytorch implementation of missing data imputation using optimal transport.☆94Updated 3 years ago
- ICML 2017. Kernel-based adaptive linear-time independence test.☆16Updated 2 years ago
- Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…☆18Updated 3 years ago
- ☆12Updated 5 years ago
- Variational Inference in Gaussian Mixture Model☆58Updated 4 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆21Updated 5 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆18Updated 4 years ago
- Tutorial on cost-sensitive boosting and calibrated AdaMEC.☆26Updated 7 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆86Updated 3 years ago
- A toy example of VAE-regression network☆72Updated 4 years ago
- Missing value imputation using Gaussian copula☆35Updated 9 months ago
- Python implementation of the Invariant Causal Prediction (ICP) algorithm, from the 2015 paper "Causal inference using invariant predictio…☆20Updated 11 months ago
- Several maximum likelihood ICA algorithms, including Picard☆22Updated 7 years ago
- Applications of Gaussian Process Latent Variable Models in Finance☆11Updated 2 years ago
- local non-uniformity correction for mutual information estimation☆69Updated 3 years ago