🌊 Online machine learning in Python
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Updated
Nov 16, 2024 - Python
🌊 Online machine learning in Python
Real-time GCC-NMF Blind Speech Separation and Enhancement
Dagger is an easy-to-use, configuration over code, cloud-native framework built on top of Apache Flink for stateful processing of real-time streaming data.
Kinesis Connector for Structured Streaming
An open source, cloud-native streaming data integration and analytics product optimized for agile digital businesses
(e2e) foss trading for non-tinas
Logstash - transport and process your logs, events, or other data
Project for real-time anomaly detection using Kafka and python
Welcome to the "Top 100 Computer Vision Projects Idea for 2024" repository! This repository contains a curated list of computer vision project ideas that you can explore, implement, and experiment with in 2024
This repository contains the code base for the Open Stream Processing Benchmark.
Application Server for Go (ASG)
This is my final year project on fire detection using infra-red technology, Which include real time detection and record video detection create fire alert for the safety.
An FPGA implementation of a digital storage oscilloscope.
An intuitive GUI for simplifying attendance tracking and management with Face recognition
GeneSCF moved to a dedicated GitHub page, https://github.com/genescf/GeneSCF
Real-time Emotion Recognition using Physiological signals in e-Learning Here one can find the development of realtime emotion recognition using various physiological signals
Rocksdb state storage implementation for Structured Streaming.
FilterX is an innovative webcam application that enhances your video feed with artistic filters like X-ray, sepia, and night vision. Capture stunning images and explore vibrant colors with intuitive controls. FilterX transforms every moment into a unique visual experience, redefining creativity and expression in real time.
Real-time speech enhancement based on spectral subtraction
Video stabilization is a software-based approach (using OpenCV and its CUDA backend) in real-time to eliminating environmental effects (wind, heavy vehicle etc.) and enhance the visual performance that degrade video streaming quality.
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