Research
tornado-core is one of my favorite repository. Once it got deleted from Github after the sanction of Tornado Cash, see: https://home.treasury.gov/news/press-releases/jy0916 Other than that, it has really clean codes, circuits folder with circom circuits, contracts folders with solidity codes which is the first privacy protocol on Ethereum. It has really good README that explains how Tornado Cash works, it's gas requirements, and building from scratch.
- Ekrem BAL
Ordinals is a protocol built on Bitcoin that allows people to "inscribe" and track images, HTML, GIFs, SVGs and many other things on the blockchain. It is very similar to NFTs we see on programmable blockchains. Since Bitcoin has no programmability, it was deemed that NFTs on Bitcoin was impossible, however Ordinal Theory showed us that it is possible on Bitcoin. It does so by associating single Satoshis (indivisible, smallest part of one BTC) with the data included in a transaction. The repo contains tools for inscribing/sending/receiving/indexing Ordinals and an explorer to view them.
- I chose this repo for a few reasons:
- I think the idea behind the protocol is beautiful.
- Even though the project started as a single developer's work, after getting popular it became community owned and now operates with many people's work in an organized way.
- It utilizes pull requests for new features.
- It uses releases feature so that people don't have to build the project on their own and can just download a pre-built image.
You can check out the ord repo here.
- Esad Yusuf Atik
You can read more about the link below
Leo
Leo is a cool programming language it simplifies the integration of privacy-focused applications by abstracting complex cryptographic operations. It creates zero-knowledge proofs by compiling into circuits, so making such proofs more accessible and practical for developers. They have cool stuffs for enhancing privacy through zero-knowledge proofs. It is mainly for zero-knowledge appliacations. It has a good documentation page. There are 4.7k stars and 44 contributers. I like this repo becuse it introduces innovations and its really simple.
-Batuhan Solmaz
scikit-learn is probably the most used machine learning library for Python. The toolbox includes a wide range of techniques for classification, regression, and clustering, including k-means, DBSCAN, gradient boosting, support-vector machines, and random forests. It is designed to work seamlessly with NumPy and SciPy, two of Python's scientific and numerical modules. The repository has a beneficial readme file which contains anything you may look for such as installation guide and development guide. Since an international community contributes the repository, there are more than 1k open issues and more than 600 open issues which makes the repository difficult to manage.
- Onur Dilsiz