bvanbreugel

bvanbreugel's Stars

• bvanbreugel/bib_converter

  Tool to convert LaTeX citation keys when switching from one bib library to another (where keys don't match)

  Language:Python1

• vanderschaarlab/deep_generative_ensemble

  Language:Jupyter Notebook1

• bvanbreugel/deep_generative_ensemble

  Language:Jupyter Notebook62

• royorel/FFHQ-Aging-Dataset

  FFHQ-Aging Dataset

  Language:Python26125

• GaParmar/clean-fid

  PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]

  Language:Python94872

• POSTECH-CVLab/PyTorch-StudioGAN

  StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

  Language:Python3.4k341

• OpenMined/PySyft

  Perform data science on data that remains in someone else's server

  Language:Python9.5k2k

• vanderschaarlab/synthcity

  A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.

  Language:Python44158

• znxlwm/pytorch-MNIST-CelebA-cGAN-cDCGAN

  Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset

  Language:Python488127

• lucidrains/denoising-diffusion-pytorch

  Implementation of Denoising Diffusion Probabilistic Model in Pytorch

  Language:Python8.2k1k

• sdv-dev/SDMetrics

  Metrics to evaluate quality and efficacy of synthetic datasets.

  Language:Python20944

• trevor-richardson/MCFlow

  Monte Carlo Flow Models for Data Imputation

  Language:Python174

• lupalab/ACFlow

  Language:Python11

• probabilistic-learning/HI-VAE

  Language:Python8725

• ahmedmalaa/evaluating-generative-models

  Language:Python177