Alternatives and similar repositories for pytorch-made

Users that are interested in pytorch-made are comparing it to the libraries listed below

• ikostrikov / pytorch-flows
  PyTorch implementations of algorithms for density estimation
  ☆585Updated 4 years ago
• Schlumberger / joint-vae
  Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation
  ☆469Updated 6 years ago
• probtorch / probtorch
  Probabilistic Torch is library for deep generative models that extends PyTorch
  ☆891Updated last year
• karpathy / pytorch-normalizing-flows
  Normalizing flows in PyTorch. Current intended use is education not production.
  ☆881Updated 5 years ago
• openai / iaf
  Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"
  ☆527Updated 6 years ago
• ericjang / normalizing-flows-tutorial
  Tutorial on normalizing flows.
  ☆299Updated 7 years ago
• hardmaru / pytorch_notebooks
  tutorial notebooks
  ☆389Updated 7 years ago
• ctallec / pyvarinf
  Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
  ☆361Updated 6 years ago
• t-vi / pytorch-tvmisc
  Totally Versatile Miscellanea for Pytorch
  ☆475Updated 3 years ago
• google-deepmind / neural-processes
  This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…
  ☆1,004Updated 4 years ago
• google-deepmind / dsprites-dataset
  Dataset to assess the disentanglement properties of unsupervised learning methods
  ☆514Updated 4 years ago
• ericjang / gumbel-softmax
  categorical variational autoencoder using the Gumbel-Softmax estimator
  ☆432Updated 8 years ago
• wohlert / semi-supervised-pytorch
  Implementations of various VAE-based semi-supervised and generative models in PyTorch
  ☆710Updated 5 years ago
• renmengye / revnet-public
  Code for "The Reversible Residual Network: Backpropagation Without Storing Activations"
  ☆362Updated 7 years ago
• loudinthecloud / pytorch-ntm
  Neural Turing Machines (NTM) - PyTorch Implementation
  ☆600Updated 7 years ago
• brain-research / acai
  Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"
  ☆244Updated 7 years ago
• shayneobrien / generative-models
  Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN,…
  ☆500Updated 6 years ago
• tolstikhin / wae
  Wasserstein Auto-Encoders
  ☆507Updated 7 years ago
• bayesgroup / variational-dropout-sparsifies-dnn
  Sparse Variational Dropout, ICML 2017
  ☆313Updated 5 years ago
• nicola-decao / s-vae-pytorch
  Pytorch implementation of Hyperspherical Variational Auto-Encoders
  ☆376Updated 5 years ago
• LMescheder / AdversarialVariationalBayes
  This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoe…
  ☆208Updated 7 years ago
• miyosuda / disentangled_vae
  Replicating "Understanding disentangling in β-VAE"
  ☆199Updated 7 years ago
• koz4k / dni-pytorch
  Decoupled Neural Interfaces using Synthetic Gradients for PyTorch
  ☆238Updated 6 years ago
• jmtomczak / vae_vampprior
  Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling
  ☆232Updated 7 years ago
• pclucas14 / pixel-cnn-pp
  Pytorch Implementation of OpenAI's PixelCNN++
  ☆348Updated 4 years ago
• ikostrikov / pytorch-meta-optimizer
  A PyTorch implementation of Learning to learn by gradient descent by gradient descent
  ☆315Updated 7 years ago
• abdulfatir / normalizing-flows
  Understanding normalizing flows
  ☆132Updated 5 years ago
• senya-ashukha / real-nvp-pytorch
  Real NVP PyTorch a Minimal Working Example | Normalizing Flow
  ☆141Updated 4 years ago
• locuslab / trellisnet
  [ICLR'19] Trellis Networks for Sequence Modeling
  ☆473Updated 6 years ago
• edwardlib / observations
  Tools for loading standard data sets in machine learning
  ☆204Updated 2 years ago