ydata-synthetic VS GLOM-TensorFlow

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

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ydata-synthetic GLOM-TensorFlow
60 4
1,297 36
3.2% -
7.3 0.0
4 days ago about 3 years ago
Jupyter Notebook Python
MIT License Apache License 2.0
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.

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.

GLOM-TensorFlow

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

What are some alternatives?

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

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

InvoiceNet - Deep neural network to extract intelligent information from invoice documents.

Copulas - A library to model multivariate data using copulas.

image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

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

efficientnet-lite-keras - Keras reimplementation of EfficientNet Lite.

Conditional-Sig-Wasserstein-GANs

image-quality-assessment - Convolutional Neural Networks to predict the aesthetic and technical quality of images.

pytorch-forecasting - Time series forecasting with PyTorch

wtte-rnn - WTTE-RNN a framework for churn and time to event prediction

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

cnn-raccoon - Create interactive dashboards for your Convolutional Neural Networks with a single line of code!