nist-crc-2023 VS tdk-demo

Compare nist-crc-2023 vs tdk-demo and see what are their differences.

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nist-crc-2023 tdk-demo
7 3
27 17
- -
4.3 8.4
11 months ago 8 days ago
Jupyter Notebook YAML
MIT License BSD 3-clause "New" or "Revised" 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.


Posts with mentions or reviews of nist-crc-2023. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-01.


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

What are some alternatives?

When comparing nist-crc-2023 and tdk-demo you can also consider the following projects:

awesome-python-for-data-science - A curated list of awesome resources such as books, tutorials, courses, open-source libraries, exercises, and other materials that support Pythonistas in the making, and Pythonistas migrating into Data Science! 📊

DoppelGANger - [IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

genalog - Genalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and text alignment capabilities.

discus - A data-centric AI package for ML/AI. Get the best high-quality data for the best results. Discord:

SDV - Synthetic data generation for tabular data

PeopleSansPeople - Unity's privacy-preserving human-centric synthetic data generator

gan-vae-pretrained-pytorch - Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

generatedata - A powerful, feature-rich, random test data generator.

SynthDet - SynthDet - An end-to-end object detection pipeline using synthetic data

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