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Group's top Repos
Ramazan Onur Acar edited this page Feb 26, 2024
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- Godot is a free, open-source engine designed for game development.
- Godot is extremely community-driven, and it's been active for 10 years. It doesn't have any sort of royalty. Considering the industry's giant company Unity's latest extremely-greedy policy, a free game engine that has this big of a community and without royalties is extremely precious.
- The issues on the repo's are extremely active. As of the time of my writing, 21:40 on February 19, 2024, this 10-year-old repo has had four new issues in the last hour alone. It has more than 35,000 closed issues. It has a well-written README that includes clear explanations of the common questions about the engine.
- It is really exciting and inspiring to see a solo developer recreate such a popular and complex video game from scratch in just 48 hours. It showscases a level of programming excellency I truly hope to achieve one day.
- What also like about the repo is that it is very approachable unlike mega-repositories released by big corporates or open-source projects managed by thousands of developers. It is simple enough that I can attempt to devour it however challenging enough that it keeps me engaged. And the results are downright beautiful.
- Summer2024-Internships is a repository that is designed to inform students that study in tech-related fields about international internship opportunities.
- The repository lists the opportunities and gives crucial information such as the company, the role, the location, whether US citizenship is required and whether the application is closed.
- It also provides links for easily applying to the internship.
- What I like about the repo is that it saves a lot of time and effort for searching internship opportunities. It also makes the application process extremely easy.
- LLaMA (Large Language Model Meta AI) is a state-of-the-art foundational large language model designed to help researchers advance their work in this subfield of AI.
- As the popularity of large language models increases every day, Meta provides a nice family of large language model with a strong community. Llama is developed further every moment and its open source nature encourages researchers to utilize these LLMs.
- I love the usage of branches in this repo. It is such a simple but powerful feature of git. In llama's repo, since the version 2 was released, it is still possible to find the version 1 resources, simply by switching to the corresponding branch (named llama_v1)
- Google Guava is a Java helper library developed by SWEs in Google. This collection of libraries provides a set of useful libraries in Java. Thanks to this, writing code in Java becomes easier.
- The most important reason why I love Guava is that it contains many different data structures, classes and libraries that are not available by default Java but are very useful. Therefore, Guava makes easier almost everything in Java for us.
- Guava, offers reliable long-term support, boasts extensive features that streamline Java development, and benefits from a broad open-source community for issue resolution and assistance. Moreover, Guava offers us an extremely active repo. That is why I love Guava's repo.
- This repository is a compilation of well-written, step-by-step guides for re-creating our favorite technologies from scratch.
- It includes tutorials to create docker, git, shell, web browser and many other software we use everyday. Building them from scratch is the best way to enhance programming skills. It also makes you understand how those softwares work better.
- Audiocraft is a library for audio generation with deep learning. It's a repository from Meta Research. Specifically, MusicGen focuses on text-to-music generations.
- I ran into MusicGen for a text to music generation project. It amazed me in that it took many different prompts from very basic to complicated. Even though the complicated inputs, It was giving proper outputs with consistent prompts. Also, this repo has a special place in me with its being the first model I was able to use with no significant help from another person.
- PySR is an open-source tool for Symbolic Regression where the goal is to find an interpretable symbolic expression that optimizes some objective.
- Symbolic regression enables us to find the underlying mathematical patterns (in analytical form) of any data that has been given, and this has been used to discover the mathematics and "laws" of a system from physical data, which aligns with my vision of mathematical relation-developing AI to make a revolutionary tool for natural sciences.
- The project is completely open source and the documentation is well done. The repository gives all the necessary information clearly and is well-maintained.
- libcpr is an open-source C++ library that you can use to make HTTP requests with so many features in it.
- I was trying to make an HTTPS request in my C++ project but I couldn't do it until I found this library. It is easy to use, supports OpenSSL, and is capable of making more than GET and POST requests (e.g POST, DELETE). Just a few lines of code and you got your response.
- The README of the repository is very powerful. It explains the installation of the library, which is quite easy, and includes usage examples, requirements, supported versions, documentation and, my favorite part, features. Before installing the library, you can see if it meets your needs. Also, the project is still being maintained.
🏠 Home
- 💬 Communication Plan
- 🎯 General Plan
- 🗂️ Project Plan
- 📊 Customer Milestone 1 Report
- 📊 Customer Milestone 2 Report
- 📊 Customer Milestone 3 Report
- 📕 User Manual
- 📕 System Manual
- Software Requirements
- API Doc
- RAM
- Sequence Diagram
- Class Diagram
- Use-Case Diagram
- Mockups
- User Scenario 1 - Quiz generation
- User Scenario 2 ‐ Find forum from the Quiz
- User Scenario 3 ‐ Ask Question in the Forum
- User Scenario 4 - Solve a Quiz Sent by Another User
- User Experience Enhancement Plans and Actions
- Final Presentation scenario
- UI Interfaces
- User Stories
- Lab Report #1 | 24.09.2024
- Lab Report #2 | 01.10.2024
- Lab Report #3 | 08.10.2024
- Lab Report #4 | 15.10.2024
- Lab Report #9 | 10.12.2024
Lab Meeting Notes
Team Meeting Notes
🧑🏻💻 About Us
🗂️ Templates
CmpE 352
- Customer Milestone 1 Report
- Customer Milestone 2 Report
- Customer Milestone 3 Report
- UML Use-Case Diagram
- UML Class Diagram
- Sequence Diagrams
- API Documentation
- RAM | Responsibility Assignment Matrix
🗃️ All Project Files
📝 352 Meeting Notes
- Meeting #11 | 11.05.2024
- Frontend Meeting Notes #2 | 07.05.2024
- Meeting #10 | 07.05.2024
- Frontend Meeting Notes #1 | 08.04.2024
- Backend Meeting Notes
- Mobile Team Meeting Notes
- Meeting #9 | 28.04.2024
- Meeting #8 | 22.04.2024
- Meeting #7 | 04.04.2024
- Meeting #6 | 27.03.2024
- Meeting #5 | 15.03.2024
- Customer Meeting #1 | 15.03.2024
- Meeting #4 | 07.03.2024
- Meeting #3 | 03.03.2024
- Meeting #2 | 26.02.2024
- Meeting #1 | 19.02.2024