karpathy / pytorch-madeLinks
MADE (Masked Autoencoder Density Estimation) implementation in PyTorch
☆556Updated 6 years ago
Alternatives and similar repositories for pytorch-made
Users that are interested in pytorch-made are comparing it to the libraries listed below
Sorting:
- PyTorch implementations of algorithms for density estimation☆585Updated 4 years ago
- Normalizing flows in PyTorch. Current intended use is education not production.☆869Updated 5 years ago
- Tutorial on normalizing flows.☆300Updated 7 years ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆889Updated last year
- Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation☆465Updated 6 years ago
- Dataset to assess the disentanglement properties of unsupervised learning methods☆508Updated 4 years ago
- Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"☆244Updated 6 years ago
- Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"☆521Updated 6 years ago
- Code for Implicit Generation and Generalization with Energy Based Models☆352Updated 2 years ago
- Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN,…☆499Updated 6 years ago
- Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows☆625Updated 3 years ago
- categorical variational autoencoder using the Gumbel-Softmax estimator☆433Updated 8 years ago
- This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…☆1,005Updated 4 years ago
- A curated list of research papers related to learning disentangled representations☆464Updated 6 years ago
- Wasserstein Auto-Encoders☆508Updated 6 years ago
- tutorial notebooks☆387Updated 7 years ago
- Implementations of various VAE-based semi-supervised and generative models in PyTorch☆707Updated 5 years ago
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆359Updated 5 years ago
- Totally Versatile Miscellanea for Pytorch☆471Updated 3 years ago
- Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).☆262Updated 7 years ago
- i-RevNet Pytorch Code☆392Updated 4 years ago
- This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoe…☆206Updated 7 years ago
- A curated list of resources dedicated to bayesian deep learning☆415Updated 8 years ago
- Torch implementations of various types of autoencoders☆472Updated 7 years ago
- Masked Autoregressive Flow☆213Updated 10 months ago
- Bayesian Deep Learning Benchmarks☆671Updated 2 years ago
- ☆238Updated 6 years ago
- Play time!☆199Updated 9 months ago
- Pytorch implementation of Hyperspherical Variational Auto-Encoders☆369Updated 5 years ago
- A PyTorch library for two-sample tests☆240Updated 2 years ago