autoai VS ds2

Compare autoai vs ds2 and see what are their differences.

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. (by blobcity)
Automl Codegen AI ML autoai Machine Learning Deep Learning Python
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ds2

Easiest way to use AI models without coding (Web UI & API support) (by DS2BRAIN)
AI Automl Data Science Machine Learning ML Mlops annotation-tool auto-labeling Deep Learning feature-engineering neural-network Python Pytorch Tensorflow image-annotation-tool text-annotation dalle huggingface image-to-text stable-diffusion
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autoai ds2
3 5
166 48
2.4% -
5.4 0.0
3 months ago 2 months ago
Python Python
Apache License 2.0 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.

autoai

Posts with mentions or reviews of autoai. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-12.
  • [P] AutoAI – A framework to find the best performing AI/ML model
    1 project | /r/MachineLearning | 13 Nov 2021
  • Show HN: AutoAI
    5 projects | news.ycombinator.com | 12 Nov 2021
    Your list excludes most of well-known open-source AutoML tools such as auto-sklearn, AutoGluon, LightAutoML, MLJarSupervised, etc. These tools have been very extensively benchmarked by the OpenML AutoML Benchmark (https://github.com/openml/automlbenchmark) and have papers published, so they are pretty well-known to the AutoML community.

    Regarding H2O.ai: Frankly, you don't seem to understand H2O.ai's AutoML offerings.

    I'm the creator of H2O AutoML, which is open source, and there's no "enterprise version" of H2O AutoML. The interface is simple -- all you need to specify is the training data and target. We have included DNNs in our set of models since the first release of the tool in 2017. Read more here: https://docs.h2o.ai/h2o/latest-stable/h2o-docs/automl.html We also offer full explainability for our models: https://docs.h2o.ai/h2o/latest-stable/h2o-docs/explain.html

    H2O.ai develops another AutoML tool called Driverless AI, which is proprietary. You might be conflating the two. Neither of these tools need to be used on the H2O AI Cloud. Both tools pre-date our cloud by many years and can be used on a user's own laptop/server very easily.

    Your Features & Roadmap list in the README indicates that your tool does not yet offer DNNs, so either you should update your post here or update your README if it's incorrect: https://github.com/blobcity/autoai/blob/main/README.md#featu...

    Lastly, I thought I would mention that there's already an AutoML tool called "AutoAI" by IBM. Generally, it's not a good idea to have name collisions in a small space like the AutoML community. https://www.ibm.com/support/producthub/icpdata/docs/content/...

ds2

Posts with mentions or reviews of ds2. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing autoai and ds2 you can also consider the following projects:

nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

carefree-learn - Deep Learning ❤️ PyTorch

adanet - Fast and flexible AutoML with learning guarantees.

superduperdb - 🔮 SuperDuperDB: Bring AI to your database! Build, deploy and manage any AI application directly with your existing data infrastructure, without moving your data. Including streaming inference, scalable model training and vector search.

ds2ai-python - The MLOps platform for innovators 🚀

autoembedder - PyTorch autoencoder with additional embeddings layer for categorical data 🚘

automlbenchmark - OpenML AutoML Benchmarking Framework

cascade - Lightweight and modular MLOps library targeted at small teams or individuals

SAP-HANA-AutoML - Python Automated Machine Learning library for tabular data.

cerche - Experimental search engine for conversational AI such as parl.ai, large language models such as OpenAI GPT3, and humans (maybe).

DeepCamera - Open-Source AI Camera. Empower any camera/CCTV with state-of-the-art AI, including facial recognition, person recognition(RE-ID) car detection, fall detection and more

only_train_once - OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM

autoai vs nni ds2 vs carefree-learn autoai vs adanet ds2 vs superduperdb autoai vs ds2ai-python ds2 vs autoembedder autoai vs automlbenchmark ds2 vs cascade autoai vs SAP-HANA-AutoML ds2 vs cerche autoai vs DeepCamera ds2 vs only_train_once