SAP-HANA-AutoML VS ds2ai-python

Compare SAP-HANA-AutoML vs ds2ai-python and see what are their differences.

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SAP-HANA-AutoML ds2ai-python
1 1
48 10
- -
1.5 0.0
over 1 year ago over 1 year ago
Python Python
MIT License 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.

SAP-HANA-AutoML

Posts with mentions or reviews of SAP-HANA-AutoML. We have used some of these posts to build our list of alternatives and similar projects.
  • Introducing my AutoML library
    1 project | /r/datascience | 18 Jun 2021
    I'm excited to introduce you my (and another great developer) school diploma project. Fully open-source, Automated Machine Learning Library! We are beating built-in AutoML in SAP famous product. GitHub repository (waiting for your stars): https://github.com/dan0nchik/SAP-HANA-AutoML Web-application for users who don't want to code: https://share.streamlit.io/dan0nchik/sap-hana-automl/main/web.py

ds2ai-python

Posts with mentions or reviews of ds2ai-python. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing SAP-HANA-AutoML and ds2ai-python you can also consider the following projects:

autoai - Python based framework for Automatic AI for Regression and Classification over numerical data. Performs model search, hyper-parameter tuning, and high-quality Jupyter Notebook code generation.

evalml - EvalML is an AutoML library written in python.

pytorch-forecasting - Time series forecasting with PyTorch

sigopt-server - Open Source version of SigOpt API, performing hyperparameter optimization and visualization

orion - Asynchronous Distributed Hyperparameter Optimization.

Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

optuna-examples - Examples for https://github.com/optuna/optuna

H2O - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

causalgraph - A python package for modeling, persisting and visualizing causal graphs embedded in knowledge graphs.