JavaScript player library / DASH & HLS client / MSE-EME player
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Updated
Jun 12, 2024 - JavaScript
JavaScript player library / DASH & HLS client / MSE-EME player
This project focuses on identifying the best hyperparameters for modeling and predicting trends in food sales using a Multi-Layer Perceptron (MLP) neural network. The objective is to optimize the MLP model to achieve high predictive accuracy, enabling businesses to make informed decisions regarding inventory management and sales strategies.
DASH/Smooth HTML5 Video Player
An Alibaba Cloud native microservice demo powered by Apache Dubbo and Spring Cloud Alibaba
Exploring advanced autoencoder architectures for efficient data compression on EMNIST dataset, focusing on high-fidelity image reconstruction with minimal information loss. This project tests various encoder-decoder configurations to optimize performance metrics like MSE, SSIM, and PSNR, aiming to achieve near-lossless data compression.
Compute the mean squared error (MSE) incrementally.
Slick Decision Analysis
HTML5 MPEG2-TS / FLV Stream Player
jMuxer - a simple javascript mp4 muxer that works in both browser and node environment.
Interpreter for HTML5 media events
A web player application that implements MSE, EME, ABR, and parses DASH manifests.
Measures and metrics for image2image tasks. PyTorch.
📗 This repository provides an in-depth exploration of the predictive linear regression model tailored for Jamboree Institute students' data, with the goal of assisting their admission to international colleges. The analysis encompasses the application of Ridge, Lasso, and ElasticNet regressions to enhance predictive accuracy and robustness.
百度智能云Web播放器SDK
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