Alternatives and similar repositories for macow:

Users that are interested in macow are comparing it to the libraries listed below

• XuezheMax / wolf
  Invertible Generative Flows
  ☆81Updated 3 years ago
• chrischute / glow
  Implementation of Glow in PyTorch
  ☆81Updated 4 years ago
• ehoogeboom / emerging
  ☆42Updated 5 years ago
• aravindsrinivas / flowpp
  Code for reproducing Flow ++ experiments
  ☆187Updated 5 years ago
• haoliuhl / hybrid-discriminative-generative
  Hybrid Discriminative-Generative Training via Contrastive Learning
  ☆75Updated last year
• YorkUCVIL / Wavelet-Flow
  Wavelet Flow: Fast Training of High Resolution Normalizing Flows
  ☆59Updated 3 years ago
• CW-Huang / NAF
  Experiments for the Neural Autoregressive Flows paper
  ☆123Updated 3 years ago
• kingofspace0wzz / wae-rnf-lm
  Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…
  ☆62Updated 4 years ago
• kefirski / bdir_vae
  simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch
  ☆52Updated 7 years ago
• rosinality / igebm-pytorch
  Implicit Generation and Generalization in Energy Based Models in PyTorch
  ☆65Updated 5 years ago
• corenel / pytorch-glow
  PyTorch implementation of "Glow: Generative Flow with Invertible 1x1 Convolutions"
  ☆44Updated 6 years ago
• rtqichen / residual-flows
  code for "Residual Flows for Invertible Generative Modeling".
  ☆265Updated last year
• pclucas14 / pytorch-glow
  Pytorch Implementation of OpenAI's GLOW
  ☆93Updated 3 years ago
• ShangyuanTong / PairGAN
  ☆21Updated 5 years ago
• sajadn / Exemplar-VAE
  Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
  ☆69Updated 4 years ago
• jrbtaylor / conditional-pixelcnn
  A PyTorch implementation of Conditional PixelCNNs
  ☆27Updated 7 years ago
• jmtomczak / vae_vpflows
  Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling
  ☆91Updated 7 years ago
• ermongroup / flow-gan
  Code for "Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models", AAAI 2018.
  ☆107Updated 7 years ago
• didriknielsen / pixelcnn_flow
  Code for paper "Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow"
  ☆19Updated 4 years ago
• snu-mllab / DisentanglementICML19
  "Learning Discrete and Continuous Factors of Data via Alternating Disentanglement" accepted at ICML2019
  ☆21Updated 5 years ago
• denproc / Taming-VAEs
  ☆26Updated 6 years ago
• vlievin / biva-pytorch
  Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)
  ☆84Updated 2 years ago
• XuezheMax / mae
  MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders
  ☆23Updated 5 years ago
• ajayjain / lmconv
  Code for UAI 2020 paper "Locally Masked Convolution for Autoregressive Models"
  ☆77Updated 4 years ago
• izmailovpavel / flowgmm
  ☆147Updated 2 years ago
• AilsaF / RS-GAN
  ☆29Updated 4 years ago
• rakhimovv / GenerativeLatentFlow
  The PyTorch implementation of the GLF
  ☆21Updated 3 years ago
• j-min / Dropouts
  PyTorch Implementations of Dropout Variants
  ☆87Updated 7 years ago
• thu-ml / vflow
  Official code for "VFlow: More Expressive Generative Flows with Variational Data Augmentation" (ICML 2020)
  ☆39Updated last year
• ermongroup / alignflow
  ☆32Updated 5 years ago