awesome-synthetic-data VS datascience

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

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awesome-synthetic-data datascience
1 4
100 4,110
10.0% -
10.0 8.3
almost 2 years ago 10 days ago
Apache License 2.0 Creative Commons Zero v1.0 Universal
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.

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.

datascience

Posts with mentions or reviews of datascience. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-01.

What are some alternatives?

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

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

Mage - 🧙 The modern replacement for Airflow. Mage is an open-source data pipeline tool for transforming and integrating data. https://github.com/mage-ai/mage-ai

mlnotify - 🔔 No need to keep checking your training - just one import line and you'll know the second it's done.

machine-learning-for-software-engineers - A complete daily plan for studying to become a machine learning engineer.

awesome-bigdata - A curated list of awesome big data frameworks, ressources and other awesomeness.

Kats - Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

mlreef - The collaboration workspace for Machine Learning

darts - A python library for user-friendly forecasting and anomaly detection on time series.

awesome-production-machine-learning - A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

awesome-ml-for-cybersecurity - :octocat: Machine Learning for Cyber Security

kaggle-solutions - 🏅 Collection of Kaggle Solutions and Ideas 🏅

primeclue - AI & Data Mining