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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
Last synced: 27 days ago
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Useful tutorials
- Host: GitHub
- URL: https://github.com/collaborative-ai/tutorial
- Owner: Collaborative-AI
- License: mit
- Created: 2024-06-16T06:50:47.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2024-09-07T09:36:35.000Z (about 2 months ago)
- Last Synced: 2024-10-09T19:00:22.242Z (27 days ago)
- Topics: git, literature-search, pycharm, python, pytorch, research
- Homepage:
- Size: 110 KB
- Stars: 3
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
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.
### 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.
### 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.
### 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.
### 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.
### 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.