titicaca / GP-ClusteringLinks
Clustering with Gaussian Process Models
☆19Updated 6 years ago
Alternatives and similar repositories for GP-Clustering
Users that are interested in GP-Clustering are comparing it to the libraries listed below
Sorting:
- A Python gradient-descent implementation of the Neighborhood Components Analysis (NCA) method for metric learning.☆15Updated 8 years ago
- Variational Fourier Features☆85Updated 4 years ago
- ☆64Updated 7 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆38Updated 7 years ago
- Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)☆42Updated 5 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 7 years ago
- Exponential Machines implementation☆42Updated 6 months ago
- Automatic differentiation + optimization☆103Updated 6 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆190Updated 2 years ago
- Variational Recurrent Auto Encoder☆15Updated 9 years ago
- Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python☆23Updated 9 years ago
- Short Course on Optimization for Machine Learning - Slides and Practical Labs - DS3 Data Science Summer School, June 24 to 28, 2019, Pari…☆20Updated 6 years ago
- ☆80Updated 7 years ago
- Fast Imprementation of Dynamic Time Warping For Python☆44Updated 2 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- A collection of Gaussian process models☆30Updated 8 years ago
- Slides, Jupyter Notebooks and scripts for the Deep Learning: Do-It-Yourself! lectures at ENS☆22Updated 4 years ago
- ☆13Updated 9 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆45Updated 7 years ago
- CUDA extension for the SPORCO project☆18Updated 4 years ago
- SGCRFpy: Sparse Gaussian Conditional Random Fields in Python☆29Updated 8 years ago
- Implementation of the ALI-G algorithm (PyTorch, Tensorflow)☆22Updated 4 years ago
- Several implementations of the kernel-based activation functions☆63Updated 6 years ago
- 3-day dive into deep learning at csc☆25Updated 8 years ago
- ☆25Updated 3 years ago
- Code for density estimation with nonparametric cluster shapes.☆39Updated 9 years ago
- ☆45Updated 5 years ago
- Experiments in Bayesian Machine Learning☆69Updated 6 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆23Updated 5 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 4 years ago