SDV VS HR-Attrition

Compare SDV vs HR-Attrition and see what are their differences.

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SDV HR-Attrition
59 1
2,105 7
13.5% -
9.3 7.8
7 days ago about 3 years ago
Python Jupyter Notebook
GNU General Public License v3.0 or later -
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.

SDV

Posts with mentions or reviews of SDV. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-27.

HR-Attrition

Posts with mentions or reviews of HR-Attrition. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-12.

What are some alternatives?

When comparing SDV and HR-Attrition you can also consider the following projects:

CTGAN - Conditional GAN for generating synthetic tabular data.

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

machine-learning-for-trading - Code for Machine Learning for Algorithmic Trading, 2nd edition.

tsfresh - Automatic extraction of relevant features from time series:

Copulas - A library to model multivariate data using copulas.

TimeSynth - A Multipurpose Library for Synthetic Time Series Generation in Python

EigenGAN-Tensorflow - EigenGAN: Layer-Wise Eigen-Learning for GANs (ICCV 2021)

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

pandas-ai - Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.

orbstack - Fast, light, simple Docker containers & Linux machines for macOS

HealthGPT - Query your Apple Health data with natural language 💬 🩺