SAP-HANA-AutoML
sigopt-server
| SAP-HANA-AutoML | sigopt-server | |
|---|---|---|
| 1 | 1 | |
| 48 | 33 | |
| - | - | |
| 1.5 | 9.6 | |
| over 1 year ago | 4 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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
-
Introducing my AutoML library
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
sigopt-server
-
SigOpt (YC W15, Optimization Platform) is now fully open source
Hi, I am one of the founders of SigOpt (acquired by Intel in 2020) and I am happy to answer any questions people may have!
You can also jump right to the code here: https://github.com/sigopt/sigopt-server
What are some alternatives?
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.
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.
evalml - EvalML is an AutoML library written in python.
rl-baselines3-zoo - A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
ds2ai-python - The MLOps platform for innovators 🚀
optimization-tutorial - Tutorials for the optimization techniques used in Gradient-Free-Optimizers and Hyperactive.
Hyperactive - An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
optuna-examples - Examples for https://github.com/optuna/optuna
Gradient-Free-Optimizers - Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
causalgraph - A python package for modeling, persisting and visualizing causal graphs embedded in knowledge graphs.
rl-baselines-zoo - A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.