rtqichen / ffjordLinks
code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".
☆664Updated 5 years ago
Alternatives and similar repositories for ffjord
Users that are interested in ffjord are comparing it to the libraries listed below
Sorting:
- Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows☆637Updated 4 years ago
- PyTorch implementations of algorithms for density estimation☆585Updated 4 years ago
- Pytorch implementation of Augmented Neural ODEs☆555Updated 2 years ago
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆281Updated 2 years ago
- Normalizing flows in PyTorch☆986Updated last year
- Implementation of Real NVP in PyTorch☆237Updated 6 years ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆290Updated 4 years ago
- Code for Neural Spline Flows paper☆284Updated 2 months ago
- code for "Residual Flows for Invertible Generative Modeling".☆273Updated 2 years ago
- Masked Autoregressive Flow☆218Updated last year
- Tutorial on normalizing flows.☆299Updated 7 years ago
- Normalizing flows in PyTorch. Current intended use is education not production.☆906Updated 5 years ago
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆241Updated 7 years ago
- [NeurIPS'19] Deep Equilibrium Models☆786Updated 3 years ago
- Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations☆791Updated last year
- Manifold-learning flows (ℳ-flows)☆231Updated 5 years ago
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆142Updated 5 years ago
- PyTorch implementation of normalizing flow models☆922Updated last year
- Simple, extendable, easy to understand Glow implementation in PyTorch☆387Updated 3 years ago
- Experiments for understanding disentanglement in VAE latent representations☆839Updated 2 years ago
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆351Updated 3 years ago
- This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…☆1,011Updated 4 years ago
- Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.☆463Updated 4 months ago
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆287Updated 4 years ago
- ☆181Updated 6 years ago
- Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆146Updated 3 months ago
- Implementation and tutorials of normalizing flows with the novel distributions module☆169Updated 5 years ago
- Pytorch implementation of Hyperspherical Variational Auto-Encoders☆381Updated 5 years ago
- Official Code for Invertible Residual Networks☆535Updated last year
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,549Updated last year