josipd / torch-two-sampleLinks
A PyTorch library for two-sample tests
☆239Updated 2 years ago
Alternatives and similar repositories for torch-two-sample
Users that are interested in torch-two-sample are comparing it to the libraries listed below
Sorting:
- Disentanglement library for PyTorch☆276Updated 3 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆228Updated 7 years ago
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆359Updated 5 years ago
- Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"☆423Updated 2 years ago
- Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"☆245Updated 5 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆178Updated 3 years ago
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆138Updated 4 years ago
- ☆180Updated 5 years ago
- MINE: Mutual Information Neural Estimation in pytorch (unofficial)☆204Updated 6 years ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆287Updated 4 years ago
- Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations☆285Updated 2 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- code for "Residual Flows for Invertible Generative Modeling".☆270Updated last year
- Gaussian Process Prior Variational Autoencoder☆83Updated 6 years ago
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆350Updated 2 years ago
- ☆237Updated 6 years ago
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆176Updated 3 years ago
- Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation☆465Updated 6 years ago
- PyTorch implementations of algorithms for density estimation☆584Updated 4 years ago
- Understanding normalizing flows☆132Updated 5 years ago
- Pytorch Implementation of OpenAI's GLOW☆94Updated 4 years ago
- ☆91Updated 5 years ago
- Implementation of Glow in PyTorch☆81Updated 4 years ago
- ☆108Updated 7 years ago
- Simple, extendable, easy to understand Glow implementation in PyTorch☆383Updated 2 years ago
- Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling☆91Updated 7 years ago
- Learning kernels to maximize the power of MMD tests☆210Updated 7 years ago
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆279Updated last year
- PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models☆151Updated 5 years ago
- Experiments for the Neural Autoregressive Flows paper☆124Updated 3 years ago