probrother7 Goto Github PK
Name: Pranav KR
Type: User
Name: Pranav KR
Type: User
One of the primary methods for spam mail detection is email filtering. It involves categorize incoming emails into spam and non-spam. Machine learning algorithms can be trained to filter out spam mails based on their content and metadata.
Classify email to spam or not using some nlp techniques and multinomial naive bayes classifier
Demo app to test and get used to the demo envrionment
Clone a voice in 5 seconds to generate arbitrary speech in real-time
SpamGuardian: Your shield against spam! 🛡️ Detect spam messages with our ML model. Paste, click, and stay safe. Deployed on Streamlit, powered by Python libraries. Easy-to-use, robust, and ready for local use. 🚀💬 #SpamDetection #AI #MachineLearning
CC Project
Robust Speech Recognition via Large-Scale Weak Supervision
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.