HR-Attrition VS SDV

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

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HR-Attrition SDV
1 59
7 2,144
- 2.5%
7.8 9.4
over 3 years ago 2 days ago
Jupyter Notebook Python
- 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.

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.

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.

What are some alternatives?

When comparing HR-Attrition and SDV 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 💬 🩺