sklearn-project-template VS superduperdb

Compare sklearn-project-template vs superduperdb and see what are their differences.

sklearn-project-template

Machine learning template for projects based on sklearn library. (by Python-templates)

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. (by SuperDuperDB)
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sklearn-project-template superduperdb
2 24
24 4,346
- 4.4%
3.2 9.9
over 2 years ago 2 days 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.

sklearn-project-template

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

superduperdb

Posts with mentions or reviews of superduperdb. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-12.

What are some alternatives?

When comparing sklearn-project-template and superduperdb you can also consider the following projects:

playground - A Streamlit application to play with machine learning models directly from the browser

ds2 - Easiest way to use AI models without coding (Web UI & API support)

emlearn - Machine Learning inference engine for Microcontrollers and Embedded devices

best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

Machine-Learning - Implementation of different ML Algorithms from scratch, written in Python 3.x

metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!

igel - a delightful machine learning tool that allows you to train, test, and use models without writing code

nyc_traffic_flask - Flask App with leaflet.js that can perform NYC Traffic Prediction

Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials - A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

mlops-python-package - Kickstart your MLOps initiative with a flexible, robust, and productive Python package.

scikit-learn-ts - Powerful machine learning library for Node.js – uses Python's scikit-learn under the hood.

deeplake - Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai