DoppelGANger VS ydata-synthetic

Compare DoppelGANger vs ydata-synthetic and see what are their differences.

DoppelGANger

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions (by fjxmlzn)
dataset-generation Privacy time-series Timeseries Gan Gans generative-adversarial-network synthetic-data synthetic-dataset-generation synthetic-data-generation synthetic-data-generator doppelganger fidelity Datasets
Source Code
arxiv.org
Suggest alternative
Edit details

ydata-synthetic

Synthetic data generators for tabular and time-series data (by ydataai)
gan-architectures Gan Deep Learning synthetic-data Tensorflow2 Machine Learning training-data Python3 datagenerator datageneration Timeseries generative-adversarial-network Gans Pytorch time-series
Source Code
docs.synthetic.ydata.ai
Suggest alternative
Edit details
InfluxDB
Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
Our great sponsors
DoppelGANger ydata-synthetic
14 60
275 1,286
- 4.1%
3.8 7.6
6 months ago 13 days ago
Python Jupyter Notebook
BSD 3-clause Clear License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

DoppelGANger

Posts with mentions or reviews of DoppelGANger. We have used some of these posts to build our list of alternatives and similar projects.

ydata-synthetic

Posts with mentions or reviews of ydata-synthetic. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-05.

What are some alternatives?

When comparing DoppelGANger and ydata-synthetic you can also consider the following projects:

CelebV-HQ - [ECCV 2022] CelebV-HQ: A Large-Scale Video Facial Attributes Dataset

REaLTabFormer - A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.

tdk-demo - This is a collection of TDK demo projects that use different databases and options

DeepRL-TensorFlow2 - 🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

FAST-RIR - This is the official implementation of our neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment.

Copulas - A library to model multivariate data using copulas.

gretel-synthetics - Synthetic data generators for structured and unstructured text, featuring differentially private learning.

Conditional-Sig-Wasserstein-GANs

pytorch-forecasting - Time series forecasting with PyTorch

gretel-python-client - The Gretel Python Client allows you to interact with the Gretel REST API.

Robotics-Object-Pose-Estimation - A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.

Spectrum - Spectrum is an AI that uses machine learning to generate Rap song lyrics

DoppelGANger vs CelebV-HQ ydata-synthetic vs REaLTabFormer DoppelGANger vs tdk-demo ydata-synthetic vs DeepRL-TensorFlow2 DoppelGANger vs FAST-RIR ydata-synthetic vs Copulas DoppelGANger vs gretel-synthetics ydata-synthetic vs Conditional-Sig-Wasserstein-GANs ydata-synthetic vs pytorch-forecasting ydata-synthetic vs gretel-python-client ydata-synthetic vs Robotics-Object-Pose-Estimation ydata-synthetic vs Spectrum