Alternatives and similar repositories for precision-recall-distributions:

Users that are interested in precision-recall-distributions are comparing it to the libraries listed below

• cianeastwood / qedr
  Quantitative evaluation of disentangled representations
  ☆62Updated 7 years ago
• chrischute / glow
  Implementation of Glow in PyTorch
  ☆81Updated 4 years ago
• kynkaat / improved-precision-and-recall-metric
  Improved Precision and Recall Metric for Assessing Generative Models - Official TensorFlow Implementation
  ☆174Updated 3 years ago
• mbinkowski / MMD-GAN
  Training MMD GANs.
  ☆86Updated 6 years ago
• batmanlab / twin-auxiliary-classifiers-gan
  ☆50Updated 4 years ago
• clovaai / generative-evaluation-prdc
  Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.
  ☆255Updated 2 years ago
• CompVis / iin
  A Disentangling Invertible Interpretation Network
  ☆122Updated 3 years ago
• daib13 / TwoStageVAE
  ☆237Updated 5 years ago
• ananyahjha93 / cycle-consistent-vae
  This repository contains the code for the paper: Disentangling Factors of Variation with Cycle-Consistent Variational Auto-encoders (htt…
  ☆72Updated 6 years ago
• iffsid / disentangling-disentanglement
  ☆91Updated 5 years ago
• rr-learning / disentanglement_dataset
  ☆75Updated last week
• vlievin / biva-pytorch
  Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)
  ☆84Updated 2 years ago
• GongXinyuu / sngan.pytorch
  An unofficial Pytorch implementation of SNGAN, achieving IS of 8.21 and FID of 14.21 on CIFAR-10.
  ☆47Updated 2 years ago
• maga33 / DSGAN
  Implementation of Diversity-Sensitive Conditional Generative Adversarial Networks (ICLR 2019)
  ☆98Updated 3 years ago
• aravindsrinivas / flowpp
  Code for reproducing Flow ++ experiments
  ☆188Updated 5 years ago
• kamenbliznashki / pixel_models
  Pytorch implementations of autoregressive pixel models - PixelCNN, PixelCNN++, PixelSNAIL
  ☆36Updated 5 years ago
• andrewliao11 / unrolled-gans
  PyTorch Implementation of Unrolled Generative Adversarial Networks
  ☆39Updated 6 years ago
• amir-abdi / disentanglement-pytorch
  Disentanglement library for PyTorch
  ☆276Updated 2 years ago
• hhb072 / IntroVAE
  A pytorch implementation of Paper "IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis"
  ☆93Updated 6 years ago
• fjxmlzn / PacGAN
  [NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks
  ☆81Updated 4 years ago
• MiaoyunZhao / GANTransferLimitedData
  This is a pytorch implementation of the paper "On Leveraging Pretrained GANs for Limited-Data Generation".
  ☆59Updated 4 years ago
• ToniCreswell / InvertingGAN
  Invert a pre-trained GAN model (includes code for training a GAN on celebA)
  ☆84Updated 6 years ago
• taldatech / soft-intro-vae-pytorch
  [CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Va…
  ☆197Updated 2 years ago
• eitanrich / gans-n-gmms
  Official implementation of "On GANs and GMMs"
  ☆66Updated 5 years ago
• rosinality / igebm-pytorch
  Implicit Generation and Generalization in Energy Based Models in PyTorch
  ☆65Updated 6 years ago
• hmdolatabadi / denoising_diffusion
  Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)
  ☆90Updated 4 years ago
• fjxmlzn / InfoGAN-CR
  [ICML 2020] InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs
  ☆41Updated 4 years ago
• mchong6 / FID_IS_infinity
  ☆47Updated last year
• kamenbliznashki / generative_models
  Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE
  ☆91Updated 4 years ago
• jeromerony / Progressive_Growing_of_GANs-PyTorch
  A PyTorch 0.4 implementation of Progressive Growing of GANs for Improved Quality, Stability and Variability (https://arxiv.org/abs/1710.1…
  ☆56Updated 5 years ago