Search Results for "network management"

YunX is an Android app for parsing shared cloud-drive links, browsing their contents, and downloading files directly. It recognizes links from services including Quark, UC, Xunlei, Baidu Netdisk, 139 Cloud, and 123 Cloud, and can automatically match extraction codes. Downloads use concurrent ranged chunks with resume support, persistent request headers, and a fixed chunk plan. The app can clean up temporary transferred files after obtaining direct links or after download tasks are removed....

Fresco’s image pipeline will load images from the network, local storage, or local resources. To save data and CPU, it has three levels of cache; two in memory and another in internal storage. Fresco’s Drawee shows a placeholder for you until the image has loaded and then automatically shows the image when it arrives. When the image goes off-screen, it automatically releases its memory. A decompressed image - an Android Bitmap - takes up a lot of memory. This leads to more frequent runs of...

SS Rule Snippet is an open-source collection of network traffic routing rules and configuration snippets for popular proxy management applications. It provides organized rule sets for Surge, Quantumult X, Shadowrocket, Surfboard, and Clash-compatible clients. The project focuses on efficient traffic classification while minimizing unnecessary configuration complexity. Users can apply predefined rules to direct selected network requests through proxies or allow direct connections. ...

Android Tech Frontier is a curated, comprehensive digest of cutting-edge Android engineering knowledge, architecture patterns, system internals, performance practices, and technical discussions — aimed at intermediate to advanced Android developers who want to deepen their understanding of the platform. The repository aggregates articles, analysis, and mini-tutorials that explore topics such as ART and Dalvik internals, memory management, rendering pipelines, custom view performance optimization, threading and concurrency on Android, JNI interactions, and network stack behavior. Instead of being a simple “how-to” list, it dives into the “why” behind complex behaviors, helping developers reason about Android system design and tradeoffs at a deeper level. This makes the resource suitable for engineers working on performance-critical apps, large codebases, or teams that debug subtle systemic bugs.

...Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML. MMdnn is a comprehensive and cross-framework tool to convert, visualize and diagnose deep learning (DL) models. The "MM" stands for model management, and "dnn" is the acronym of deep neural network. We implement a universal converter to convert DL models between frameworks, which means you can train a model with one framework and deploy it with another. During the model conversion, we generate some code snippets to simplify later retraining or inference. We provide a model collection to help you find some popular models. ...

This project consists out of a windows based designer application and a library (that can run on multiple platforms, including android) together with several demo applications (including an MVC3 chatbot client and an android application). It is probably best compared to a database management system, but for neural networks instead of relational data. As such, the library is optimized for handling any type of data-size by using advanced streaming and caching algorithms. With the designer,...