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A music shop Spotify client built with React / Redux π€πΊ πΈπ·
Generates waveform using Web Audio API.
A Speech Analytics Python Tool for Speaking Assessment
Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.
Removing people from complex backgrounds in real time using TensorFlow.js in the web browser
Clone a voice in 5 seconds to generate arbitrary speech in real-time
The Project is real time application in opencv using first order model
real-cugan converter ncnn version, runs fast on intel / amd / nvidia GPU with vulkan
Listen to your to PostgreSQL database in realtime via websockets. Built with Elixir.
Realtime audio analysis in Python, using PyAudio and Numpy to extract and visualize FFT features from streaming audio.
A Java library that models spring dynamics and adds real world physics to your app.
Bypassing ReCaptcha v2 by using the audio-challenge feature
π₯π₯π₯SLAM, VIsual localization, keypoint detection, Image matching, Pose/Object tracking, Depth/Disparity/Flow Estimation, 3D-graphic, etc. related papers and code
Fermented Chili Sauce
A library of metrics for evaluating recommender systems
Neo4j based Recommendation Engine Framework for PHP
π π Smart media tagging for Nextcloud: recognizes faces, objects, landscapes, music genres
Recommended music, series, etc, along with the scripts to generate the lists.
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A web application that recommends users new music based on explicit feedback.
Applying different recommendation systems, for example, Popularity based recommendation, Single value decomposition, item-item collaborative filtering and user-user based collaborative filtering on Amazon Musical Instrument data to get recommednations for user
Building a movie collaborative-filtering-based recommendation system with neo4j & python ...
Presentation on a simple item based collaborative filters, using Neo4J
This is an attempt to create a recommendation system using Karl Pearson's coefficient and Euclidean's distance
Content-based +Emotion/Mood aware Music Recommendation system
Based on the idea of Spotify : a concrete example to understand how graph databases work, with Neo4j. The challenge is to create a music recommendation algorithm, using a very large database of songs (Million Song Dataset) with a graphical interface (Symfony).
Build a recommendation system for the Amazon music rating using the Neural Network Algorithms. The solution was a part of the Kaggle competition.
Neo4j Graph Example Movies Recommendation
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.