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
- Bayesian Effective Connectivity☆54Updated 6 years ago
- Edward content including papers, posters, and talks☆91Updated 4 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Updated 9 years ago
- active learning + reusable workflows + likelihood free inference☆61Updated 8 years ago
- Implementation of Mapper algorithm for Topological Data Analysis☆45Updated 5 years ago
- Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"☆46Updated 5 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64Updated 7 years ago
- ☆98Updated 7 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
- 🦅Hyperparameter optimization for machine learning pipelines 🦅☆74Updated 4 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 7 years ago
- Collection of jupyter notebooks for demonstrating software.☆167Updated 2 years ago
- Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation☆61Updated 4 years ago
- An extension to Sacred for automated hyperparameter optimization.☆59Updated 7 years ago
- Loss Landscapes of Regularized Linear Autoencoders☆144Updated 3 years ago
- Python package for modular Bayesian optimization☆136Updated 4 years ago
- Tools for loading standard data sets in machine learning☆204Updated 2 years ago
- Automatic differentiation + optimization☆103Updated 6 years ago
- A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation☆128Updated 3 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆82Updated 5 years ago
- Bayesian dessert for Lasagne☆84Updated 8 years ago
- Variational Fourier Features☆86Updated 4 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago
- Code for density estimation with nonparametric cluster shapes.☆39Updated 9 years ago
- Topological Data Analysis in Python☆171Updated 6 years ago
- Library of common tools for machine learning research.☆41Updated 7 years ago
- InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy☆148Updated 11 months ago
- Bayesian machine learning in Python☆76Updated 9 years ago