johannbrehmer / manifold-flow
Manifold-learning flows (ℳ-flows)
☆228Updated 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
- Code for Neural Spline Flows paper☆270Updated 4 years ago
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆276Updated last year
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆288Updated 4 years ago
- Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆146Updated 8 months ago
- Implementation and tutorials of normalizing flows with the novel distributions module☆166Updated 4 years ago
- Masked Autoregressive Flow☆212Updated 9 months ago
- Pytorch implementation of Block Neural Autoregressive Flow☆178Updated 3 years ago
- Discrete Normalizing Flows implemented in PyTorch☆112Updated 3 years ago
- ☆148Updated 3 years ago
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆306Updated last month
- ☆180Updated 5 years ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆444Updated 8 months ago
- Pytorch implementation of Neural Processes for functions and images☆230Updated 3 years ago
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆138Updated 4 years ago
- code for "Residual Flows for Invertible Generative Modeling".☆269Updated last year
- Implementation of the Convolutional Conditional Neural Process☆122Updated 3 years ago
- Regularized Neural ODEs (RNODE)☆82Updated 3 years ago
- Normalizing Flows using JAX☆83Updated last year
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆118Updated last year
- ☆87Updated 3 years ago
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆233Updated 6 years ago
- Algorithms for computations on random manifolds made easier☆90Updated last year
- Normalizing flows in PyTorch☆380Updated 3 weeks ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆169Updated 3 years ago
- Experiments for the Neural Autoregressive Flows paper☆124Updated 3 years ago
- A library for programmatically generating equivariant layers through constraint solving☆268Updated last year
- Tutorial on normalizing flows.☆300Updated 7 years ago
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆278Updated 3 years ago
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆639Updated 4 years ago
- Normalizing flows in PyTorch☆909Updated 4 months ago