Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Paperless Ng | 5,371 | a year ago | 254 | gpl-3.0 | Python | |||||
A supercharged version of paperless: scan, index and archive all your physical documents | ||||||||||
Awesome Learning Resources | 5,001 | 8 months ago | 5 | mit | ||||||
🔥 Awesome list of resources on Web Development. | ||||||||||
Magic | 934 | 3 months ago | gpl-3.0 | TypeScript | ||||||
An AI-based Low-Code and No-Code software development automation framework | ||||||||||
Resources | 794 | 3 months ago | 6 | gpl-3.0 | ||||||
This repo is a one stop destination to find resources for learning various domains. You can find the roadmap for any domain here. | ||||||||||
Bigdata Playground | 154 | 5 years ago | 4 | apache-2.0 | TypeScript | |||||
A complete example of a big data application using : Kubernetes (kops/aws), Apache Spark SQL/Streaming/MLib, Apache Flink, Scala, Python, Apache Kafka, Apache Hbase, Apache Parquet, Apache Avro, Apache Storm, Twitter Api, MongoDB, NodeJS, Angular, GraphQL | ||||||||||
Flask Angular Data Science | 74 | 6 years ago | 1 | TypeScript | ||||||
Repository for a data science starter app using Flask, Angular and Docker. https://medium.com/@dvelsner/deploying-a-simple-machine-learning-model-in-a-modern-web-application-flask-angular-docker-a657db075280 | ||||||||||
Angularai | 51 | 2 | 6 years ago | 4 | May 19, 2018 | 3 | mit | TypeScript | ||
:speech_balloon: Angular 6 AI (localhost version is working correctly) | ||||||||||
Facial Recognition Attendance System | 27 | 4 years ago | 9 | mit | Python | |||||
An attendance system which uses facial recognition to detect which people are present in any image. | ||||||||||
It_notes | 24 | a year ago | other | HTML | ||||||
A new way to document for the 21st century on top of the Single Page Book Project | ||||||||||
Alpharithmic Trading | 23 | 2 years ago | 26 | mit | Python | |||||
Backtest your trading strategy at a click of a button! How much alpha can you generate? |