trainer VS awesome-synthetic-data

Compare trainer vs awesome-synthetic-data and see what are their differences.

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trainer awesome-synthetic-data
4 1
28 100
- 10.0%
8.1 10.0
20 days ago almost 2 years ago
Python
GNU General Public License v3.0 or later 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.

trainer

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

awesome-synthetic-data

Posts with mentions or reviews of awesome-synthetic-data. We have used some of these posts to build our list of alternatives and similar projects.
  • Synthetic Data
    1 project | /r/dataengineering | 2 Mar 2023
    Btw, there's this Awesome list here with some nice pointers to interesting material for synthetic data.

What are some alternatives?

When comparing trainer and awesome-synthetic-data you can also consider the following projects:

Anime-face-generation-DCGAN-webapp - A port of my Anime face generation using Pytorch into a Webapp

awesome-open-data-centric-ai - Curated list of open source tooling for data-centric AI on unstructured data.

SDV - Synthetic data generation for tabular data

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.