Recommend 4 open source projects of yyds

Recommended open source project directory in this issue:

1. Automatically submit resumes

2. Use computer to control mobile phone

3. AnimateAnyone

4. Unofficial Animate Anyone


01 Automatically submit resume

This is an open source tool for automatic resume submission. It can automatically use ChatGPT to generate a cover letter based on your resume and job description and send a message to the employer.

This is a completely free script. You only need to configure the openAI API yourself to use it. I hope this script can give you some help and bring some warmth during the cold recruiting season.

Open source address: https://github.com/Frrrrrrrrank/auto_job__find__chatgpt__rpa

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02 Use computer to control mobile phone

FreeControl is a tool written in C# language based on the open source project scrcpy. It provides a simple interactive interface for controlling and managing Android devices.

Open source address: https://github.com/pdone/FreeControl

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03 AnimateAnyone

AnimateAnyone is an open source project focusing on consistent and controllable image-to-video synthesis technology for character animation. The goal of this project is to convert static images into dynamic videos to generate character animations.

On Douyin, the video of Musk skipping Subject 3 is based on this technology!

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This technology has broad application prospects in animation production, game design, virtual reality and other fields. Detailed information about the project can be viewed on the following page, and related academic papers have also been published on Arxiv.

Project address: https://github.com/HumanAIGC/AnimateAnyone

Currently, the project team is actively preparing to make the source code public and has not yet committed to a specific release date, but it has made it clear that the source code will be made public.

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04 Unofficial Animate Anyone

The previous open source project Animate Anyone has not released the source code so far, and Open-AnimateAnyone is an unofficial implementation of it.

The project is only trained on small-scale data sets (such as TikTok). Due to insufficient data scale and quality, it is difficult to achieve official results.

Due to time and cost concerns, the project team did not intend to collect and sift through large amounts of high-quality data. If anyone has a robust model trained on large amounts of high-quality data and is willing to share it, they can submit a pull request.

Open source address: https://github.com/guoqincode/Open-AnimateAnyone

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Origin blog.csdn.net/techforward/article/details/135457696