Due to the Great Firewall of China, GitHub has faced intermittent throttling, DNS interference, and complete blockages since around 2013. While GitHub is not entirely banned, its CDN (especially raw.githubusercontent.com and release assets) is often heavily restricted. Downloads that take seconds in London can take hours in Beijing—or fail entirely. For Chinese developers, pulling a 100 MB release asset becomes an ordeal.
If your goal is to use deep learning for feature extraction (e.g., from code), consider using models like CodeBERT or GraphCodeBERT for code understanding tasks. These models are specifically designed for source code and can provide meaningful representations (features) of code. baidu download github
A specialized multi-thread download tool for Linux and macOS that supports HTTP, HTTPS, and FTP protocols. It is designed to accelerate large file downloads from Baidu by using up to 100 concurrent threads. Due to the Great Firewall of China, GitHub
Creating a deep learning model or a feature extraction pipeline for tasks like downloading files from Baidu or GitHub involves several steps and considerations. However, I'll provide a high-level overview and a simple Python example to get you started on how you might approach this task. For Chinese developers, pulling a 100 MB release