drckf / paysageLinks
Unsupervised learning and generative models in python/pytorch.
☆119Updated 2 years ago
Alternatives and similar repositories for paysage
Users that are interested in paysage are comparing it to the libraries listed below
Sorting:
- TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network☆183Updated 6 years ago
- active learning + reusable workflows + likelihood free inference☆61Updated 8 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Updated 9 years ago
- Bayesian Effective Connectivity☆54Updated 6 years ago
- Implementation of Mapper algorithm for Topological Data Analysis☆45Updated 5 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆249Updated last year
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Library of common tools for machine learning research.☆41Updated 7 years ago
- Collection of jupyter notebooks for demonstrating software.☆168Updated 2 years ago
- Variational Fourier Features☆86Updated 4 years ago
- Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…☆33Updated 5 years ago
- Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"☆46Updated 5 years ago
- 🦅Hyperparameter optimization for machine learning pipelines 🦅☆74Updated 4 years ago
- ☆68Updated last year
- Python package for modular Bayesian optimization☆136Updated 4 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64Updated 7 years ago
- Tools for loading standard data sets in machine learning☆204Updated 2 years ago
- Bayesian dessert for Lasagne☆83Updated 8 years ago
- Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation☆61Updated 4 years ago
- Edward content including papers, posters, and talks☆92Updated 4 years ago
- Topological Data Analysis in Python☆171Updated 6 years ago
- ☆98Updated 7 years ago
- Probabilistic Programming and Statistical Inference in PyTorch☆110Updated 8 years ago
- Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-…☆43Updated 4 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆82Updated 5 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 10 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago
- Likelihood-free inference toolbox.☆56Updated 8 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago