This repository contains lab-solutions for the TDDE01 Machine Learning course taken at Linköping University during the fall of 2023. The course includes three labs focusing on core ML concepts.

DASH/Smooth HTML5 Video Player

JavaScript player library / DASH & HLS client / MSE-EME player

Slick Decision Analysis

Let your viewers become your unlimitedly scalable CDN.

Predictive model for student exam scores based on student performance factors

Simulate and estimate the trajectories of two balls using particle filters. Includes noisy observations, particle filtering, error calculations, and visualizations. Requires Python, `numpy`, and `matplotlib`.

Compute a moving mean squared error (MSE) incrementally.

Compute a moving root mean squared error (RMSE) incrementally.

Compute the root mean squared error (RMSE) incrementally.

Compute the mean squared error (MSE) incrementally.

Interpreter for HTML5 media events

Check device online

Server which connects to set of existing RTSP's and provides HLS/MSE-based streams.

A web player application that implements MSE, EME, ABR, and parses DASH manifests.

MicroService Encryption CLI

VerveineJ is a tool written in Java that creates a mse file from Java source code.

rtsp-websocket-server，主要用于获取视频流，然后在web中呈现，目前支持RTSP视频流，支持海康、大华摄像头，RTSP + H264 + FMP4 + WebSocket + WEB

HTML5 MPEG2-TS / FLV Stream Player