maryam-mohebbi

maryam-mohebbi's Stars

• Team-TUD/CTAB-GAN

  Official git for "CTAB-GAN: Effective Table Data Synthesizing"

  Language:Python7819

• mostly-ai/paper-fidelity-accuracy

  public repo for paper on fidelity / privacy assessment of mixed-type synthetic data

  Language:Jupyter Notebook53

• statice/anonymeter

  A Unified Framework for Quantifying Privacy Risk in Synthetic Data according to the GDPR

  Language:Python6716

• dieterich-lab/AnonymizeAndSynthesize

  Code used to produce the results presented in the publication "Anonymize or Synthesize? - Privacy-Preserving Methods for Heart Failure Score Analytics"

  Language:Python32

• atong01/conditional-flow-matching

  TorchCFM: a Conditional Flow Matching library

  Language:Python1.1k90

• SamsungSAILMontreal/ForestDiffusion

  Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models

  Language:Python13113

• yknot/ESANN2019

  Supplemental Material for the ESANN 2019 Submission "Preserving privacy using synthetic data models and applications in health informatics education"

  Language:Python192

• ydataai/ydata-synthetic

  Synthetic data generators for tabular and time-series data

  Language:Jupyter Notebook1.4k236

• mahfuzmohammad/HealthyGAN

  Official PyTorch implementation of HealthyGAN - SASHIMI 2022

  Language:Python102

• facebookresearch/dino

  PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

  Language:Python6.3k909

• DataResponsibly/DataSynthesizer

  Language:HTML25685

• dmey/synthia

  📈 🐍 Multidimensional synthetic data generation with Copula and fPCA models in Python

  Language:Python559

• opendp/smartnoise-sdk

  Tools and service for differentially private processing of tabular and relational data

  Language:Python24564

• OpenMined/PyDP

  The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy

  Language:Python506139

• yandex-research/tab-ddpm

  [ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"

  Language:Python38184

• tensorflow/models

  Models and examples built with TensorFlow

  Language:Python77k45.8k

• LiheYoung/Depth-Anything

  [CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

  Language:Python6.9k528

• adap/flower

  Flower: A Friendly Federated AI Framework

  Language:Python5k855

• nianticlabs/monodepth2

  [ICCV 2019] Monocular depth estimation from a single image

  Language:Jupyter Notebook4.1k955

• waymo-research/waymo-open-dataset

  Waymo Open Dataset

  Language:Python2.7k611

• mcordts/cityscapesScripts

  README and scripts for the Cityscapes Dataset

  Language:Python2.2k607

• Significant-Gravitas/AutoGPT

  AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

  Language:Python168k44.3k