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https://github.com/collaborative-ai/tutorial

Useful tutorials
https://github.com/collaborative-ai/tutorial

git literature-search pycharm python pytorch research

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README

        

# Tutorial



English |
简体中文

Welcome to the Collaborative-AI tutorial repository! This repository contains several tutorials. Each tutorial is available in both English and Simplified Chinese. Below you will find links to each tutorial's README file.

## Table of Contents

1. [Git](#git)
2. [Literature Search](#literature-search)
3. [Python](#python)
4. [Paper Reading](#paper-reading)
5. [PyTorch](#pytorch)
6. [MongoDB](#mongodb)

## Contents

### Git

Learn the basics of Git, including installation, configuration, and essential commands. This tutorial will guide you through everything you need to start using Git for version control.


English |
简体中文

### Literature Search

Discover how to effectively search for academic literature using various tools and databases. This tutorial covers the methods and strategies for conducting a comprehensive literature review.


English |
简体中文

### Python

This tutorial will guide you through setting up a robust Python development environment using PyCharm and Anaconda. We'll cover installation steps for different operating systems, verify your existing Python installations, and configure PyCharm for efficient coding.


English |
简体中文

### Paper Reading

Learn how to effectively read and analyze papers. This tutorial provides strategies for understanding the structure of a paper, taking notes, critically analyzing content, and connecting the paper to your research.


English |
简体中文

### PyTorch

This tutorial introduces the basics of PyTorch, a popular deep learning library in Python. You'll learn how to set up PyTorch, work with tensors, build and train neural networks, and more.


English |
简体中文

### MongoDB

Learn how to install and configure MongoDB locally, set up MongoDB Compass for database management, and use PyMongo for Python-based database operations. This tutorial covers installation on Windows, macOS, and Linux, and includes basic and advanced operations with PyMongo.


English |
简体中文