johannbrehmer / manifold-flowLinks
Manifold-learning flows (ℳ-flows)
☆229Updated 4 years ago
Alternatives and similar repositories for manifold-flow
Users that are interested in manifold-flow are comparing it to the libraries listed below
Sorting:
- Code for Neural Spline Flows paper☆275Updated 5 years ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆287Updated 4 years ago
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆281Updated last year
- Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆147Updated last month
- Implementation and tutorials of normalizing flows with the novel distributions module☆166Updated 4 years ago
- Masked Autoregressive Flow☆213Updated 10 months ago
- Pytorch implementation of Block Neural Autoregressive Flow☆179Updated 3 years ago
- Discrete Normalizing Flows implemented in PyTorch☆114Updated 3 years ago
- ☆180Updated 5 years ago
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆305Updated 3 weeks ago
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆139Updated 4 years ago
- code for "Residual Flows for Invertible Generative Modeling".☆271Updated last year
- Normalizing Flows using JAX☆83Updated last year
- ☆149Updated 3 years ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆450Updated 9 months ago
- Tutorial on normalizing flows.☆300Updated 7 years ago
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆235Updated 6 years ago
- Pytorch implementation of Neural Processes for functions and images☆230Updated 3 years ago
- ☆87Updated 3 years ago
- Experiments for the Neural Autoregressive Flows paper☆124Updated 4 years ago
- Package implementing various parametric and nonparametric methods for conditional density estimation☆197Updated 2 years ago
- Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"☆82Updated 5 years ago
- ☆68Updated 2 years ago
- Regularized Neural ODEs (RNODE)☆82Updated 3 years ago
- Implementation of Real NVP in PyTorch☆232Updated 5 years ago
- Understanding normalizing flows☆132Updated 5 years ago
- ☆241Updated 2 years ago
- Normalizing flows in PyTorch☆391Updated 2 weeks ago
- This repository contains code for applying Riemannian geometry in machine learning.☆77Updated 4 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆119Updated last year