senya-ashukha / real-nvp-pytorchView external linksLinks
Real NVP PyTorch a Minimal Working Example | Normalizing Flow
☆142Nov 6, 2020Updated 5 years ago
Alternatives and similar repositories for real-nvp-pytorch
Users that are interested in real-nvp-pytorch are comparing it to the libraries listed below
Sorting:
- Implementation of Real NVP in PyTorch☆237Aug 23, 2019Updated 6 years ago
- PyTorch implementations of algorithms for density estimation☆585May 13, 2021Updated 4 years ago
- Experiments for the Neural Autoregressive Flows paper☆125Jun 10, 2021Updated 4 years ago
- Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows☆637Jul 12, 2021Updated 4 years ago
- Tutorial on normalizing flows.☆299Jan 17, 2018Updated 8 years ago
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆244Sep 3, 2018Updated 7 years ago
- 2D toy datasetを用いたRealNVPの非常に簡単な実例です。ライブラリはPyTorchを用いています。☆12Dec 29, 2018Updated 7 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Sep 25, 2017Updated 8 years ago
- Implementation of Real-NVP in Tensorflow☆101Sep 26, 2018Updated 7 years ago
- MADE (Masked Autoencoder Density Estimation) implementation in PyTorch☆588Dec 8, 2018Updated 7 years ago
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆283Dec 14, 2023Updated 2 years ago
- Code for replication of the paper "GANs beyond divergence minimization"☆21Jan 14, 2019Updated 7 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆233May 6, 2018Updated 7 years ago
- ☆37Jul 4, 2019Updated 6 years ago
- Implementation and tutorials of normalizing flows with the novel distributions module☆169Aug 13, 2020Updated 5 years ago
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆665Sep 22, 2020Updated 5 years ago
- Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"☆3,178Jul 23, 2024Updated last year
- PyTorch implementation of Glow☆542Nov 20, 2021Updated 4 years ago
- Sequential Neural Likelihood☆42Sep 12, 2019Updated 6 years ago
- Code for the paper "Semi-Conditional Normalizing Flows for Semi-Supervised Learning"☆11Mar 30, 2020Updated 5 years ago
- pytorch implementation of openai paper "Glow: Generative Flow with Invertible 1×1 Convolutions"☆514Apr 25, 2019Updated 6 years ago
- PyTorch implementation of realNVP☆92Sep 2, 2024Updated last year
- Stochastic Machines for Unsupervised Learning implemented in Pytorch.☆10Sep 3, 2017Updated 8 years ago
- Benchmarking field-level cosmological inference from galaxy surveys.☆12Jul 17, 2025Updated 7 months ago
- Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)☆42Feb 16, 2020Updated 6 years ago
- Masked Autoregressive Flow☆219Jul 28, 2024Updated last year
- Pytorch implementation of Block Neural Autoregressive Flow☆182Aug 19, 2021Updated 4 years ago
- A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning☆97Sep 3, 2020Updated 5 years ago
- ☆12Oct 28, 2022Updated 3 years ago
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆14Aug 19, 2022Updated 3 years ago
- Pytorch code for "Learning Guidance Rewards with Trajectory-space Smoothing" (NeurIPS 2020)☆12Jul 7, 2021Updated 4 years ago
- Autoencoders for galaxies☆11Jul 29, 2021Updated 4 years ago
- Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and …☆81Oct 2, 2019Updated 6 years ago
- A PyTorch implementation of BatchBALD on the MNIST dataset☆13Sep 16, 2020Updated 5 years ago
- Very simple and short implementation of gradient boosting in 18 lines of code☆10Sep 17, 2020Updated 5 years ago
- Interactive notebooks for graduate course in galaxies.☆16Jun 14, 2024Updated last year
- ☆11Oct 3, 2021Updated 4 years ago
- Official repository for the paper "Fast Predictive Uncertainty for Classification with Bayesian Deep Networks". Accepted at UAI 2022. htt…☆12May 25, 2022Updated 3 years ago
- Official Code for Invertible Residual Networks☆536Jul 28, 2024Updated last year