kampta / pytorch-distributionsLinks
Basic VAE flow using pytorch distributions
☆36Updated 4 years ago
Alternatives and similar repositories for pytorch-distributions
Users that are interested in pytorch-distributions are comparing it to the libraries listed below
Sorting:
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆280Updated last year
- Pytorch implementation of Neural Processes for functions and images☆233Updated 3 years ago
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆308Updated 2 months ago
- Implementation of Real NVP in PyTorch☆236Updated 6 years ago
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆225Updated last year
- Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆147Updated 2 months ago
- ☆148Updated 3 years ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆288Updated 4 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆92Updated 5 years ago
- Mixture density network implemented in PyTorch.☆150Updated 2 years ago
- Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows☆632Updated 4 years ago
- Disentanglement library for PyTorch☆281Updated 3 years ago
- Experiments for understanding disentanglement in VAE latent representations☆826Updated 2 years ago
- Gaussian mixture models in PyTorch.☆577Updated 2 years ago
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆235Updated 7 years ago
- Masked Autoregressive Flow☆217Updated last year
- Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)☆278Updated 7 years ago
- Code for Neural Spline Flows paper☆279Updated 5 years ago
- Implementation and tutorials of normalizing flows with the novel distributions module☆168Updated 5 years ago
- Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.☆448Updated 2 weeks ago
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆141Updated 4 years ago
- A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.☆825Updated 4 years ago
- ☆89Updated 3 years ago
- An unofficial toy implementation for NVAE 《A Deep Hierarchical Variational Autoencoder》☆113Updated 4 years ago
- A Pytorch Implementation of Attentive Neural Process☆75Updated 6 years ago
- Normalizing flows in PyTorch☆957Updated 8 months ago
- PyTorch implementation of normalizing flow models☆881Updated last year
- Manifold-learning flows (ℳ-flows)☆230Updated 4 years ago
- ☆243Updated 2 years ago
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆652Updated 5 years ago