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This repository is a comprehensive collection of instructional guides and practical examples for Python development, focusing on machine learning, data science, and web scraping. It provides implementations for neural networks, reinforcement learning algorithms, and deep learning architectures using PyTorch, alongside detailed manuals for scientific computing and data visualization. The project distinguishes itself by offering specialized tutorials on concurrent programming to optimize CPU performance and guides for setting up Linux development environments. It covers the implementation of ad

AutoGluon is an automated machine learning framework and multimodal library designed to automate the end-to-end pipeline from data preprocessing to high-accuracy model training and validation. It functions as an automated model trainer for tabular, image, text, and time series data, as well as a tool for time series forecasting and foundation model finetuning. The project is distinguished by its ability to jointly process and fuse different data types, allowing for the construction of multimodal neural networks that integrate images, text, and structured tables. It supports zero-shot inferenc

Go Spider is a modular framework designed for building concurrent web scrapers and data extraction workflows. It provides a structured engine for orchestrating automated crawling tasks, managing request scheduling, and processing web content through a unified pipeline. The framework distinguishes itself through a highly configurable architecture that allows developers to inject custom logic for downloaders, schedulers, and storage components via interface-driven contracts. It manages network interactions using middleware-based request throttling and URL deduplication, ensuring that crawling o