Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Netdata | 67,808 | a month ago | 268 | gpl-3.0 | C | |||||
The open-source observability platform everyone needs! | ||||||||||
Mindsdb | 19,723 | 3 months ago | 449 | December 07, 2023 | 430 | other | Python | |||
Build AI 🤖 using SQL | ||||||||||
Winds | 8,486 | 3 years ago | bsd-3-clause | JavaScript | ||||||
A Beautiful Open Source RSS & Podcast App Powered by Getstream.io | ||||||||||
Sacred | 4,152 | 77 | 33 | 3 months ago | 29 | November 13, 2023 | 97 | mit | Python | |
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA. | ||||||||||
Superduperdb | 3,924 | 3 months ago | 5 | January 13, 2023 | 162 | apache-2.0 | Python | |||
🔮 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. | ||||||||||
Machine_learning_and_deep_learning | 492 | 4 months ago | gpl-3.0 | Jupyter Notebook | ||||||
Irwin | 420 | 2 years ago | 8 | agpl-3.0 | Python | |||||
irwin - the protector of lichess from all chess players villainous | ||||||||||
Real Time Stock Market Prediction | 395 | 3 years ago | JavaScript | |||||||
In this repository, I have developed the entire server-side principal architecture for real-time stock market prediction with Machine Learning. I have used Tensorflow.js for constructing ml model architecture, and Kafka for real-time data streaming and pipelining. | ||||||||||
Best Data Science Resources | 282 | 3 years ago | mit | Jupyter Notebook | ||||||
This repository contains the best Data Science free hand-picked resources to equip you with all the industry-driven skills and interview preparation kit. | ||||||||||
Machine Learning | 234 | 3 years ago | 78 | other | JavaScript | |||||
Web-interface + rest API for classification and regression (https://jeff1evesque.github.io/machine-learning.docs) |