drckf / paysageLinks
Unsupervised learning and generative models in python/pytorch.
☆119Updated 3 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 7 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
- Probabilistic Programming and Statistical Inference in PyTorch☆111Updated 8 years ago
- Library of common tools for machine learning research.☆41Updated 8 years ago
- Bayesian Effective Connectivity☆54Updated 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 6 years ago
- Implementation of an algorithm for Markov chain Monte Carlo with data subsampling☆32Updated 9 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation☆128Updated 4 years ago
- This code accompanies the proximity variational inference paper.☆18Updated 6 years ago
- 🦅Hyperparameter optimization for machine learning pipelines 🦅☆73Updated 5 years ago
- Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"☆47Updated 6 years ago
- Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation☆61Updated 4 years ago
- Implementation of Mapper algorithm for Topological Data Analysis☆45Updated 5 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago
- Variational Fourier Features☆85Updated 4 years ago
- Tools for loading standard data sets in machine learning☆205Updated 3 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago
- Edward content including papers, posters, and talks☆92Updated 5 years ago
- Automatic Discovery of the Statistical Types of Variables in a Dataset☆23Updated 7 years ago
- Automatic differentiation + optimization☆102Updated 6 years ago
- Loss Landscapes of Regularized Linear Autoencoders☆147Updated 3 years ago
- Bayesian dessert for Lasagne☆83Updated 8 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64Updated 7 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆251Updated last year
- Fast Function Extraction☆86Updated 5 months ago
- An extension to Sacred for automated hyperparameter optimization.☆59Updated 7 years ago
- ☆99Updated 7 years ago
- Convolutional Gaussian processes based on GPflow.☆95Updated 8 years ago