According to statistics from Github Trendings, there are 10 projects on the list today (2023-12-20 statistics). Based on the number of projects in the development language, the summary is as follows:
| Development language | Number of items |
|---|---|
| Python project | 5 |
| Non-development language projects | 2 |
| Rust project | 1 |
| Solidity project | 1 |
| TypeScript project | 1 |
| C++ project | 1 |
Manticore Search: Open source fast database search engine
- Creation period: 2366 days
- Development language: C++
- License type: GNU General Public License v2.0
- Number of Stars: 7135
- Number of Forks: 400 times
- Number of followers: 7135 people
- Number of contributors: 47 people
- Number of Open Issues: 369
- Github address: https://github.com/manticoresoftware/manticoresearch.git
- Project homepage: https://manticoresearch.com
Manticore Search is an open source fast database for search that provides a great alternative to Elasticsearch. It is significantly faster than MySQL and Elasticsearch for a variety of data sizes and types, and leverages modern multi-threaded architecture and efficient query parallelization. It supports row-wise and column-wise storage, secondary indexes, and has a cost-based query optimizer. Manticore is SQL first, is compatible with the MySQL protocol, and provides clients in multiple programming languages. It also provides programmatic HTTP JSON protocol, live insertion, interactive courses, built-in replication and load balancing, and supports synchronization from various sources. Additionally, it offers full-text search and relevance, rich filtering capabilities, geospatial search, vector search, spelling correction, autocomplete, NLP capabilities, text highlighting, stream filtering, high availability, security features, data security tools, various data storage, performance optimization, support for different data types, and integration with other tools and platforms.
Decentralized Autonomous Regulated Company (DARC)
- Creation period: 268 days
- Development language: Solidity, TypeScript
- Protocol type: Other
- Number of Stars: 6453
- Number of Forks: 5252 times
- Number of followers: 6453 people
- Number of contributors: 3 people
- Number of Open Issues: 2
- Github address: https://github.com/Project-DARC/DARC.git
- Project homepage: https://darc.app
A Decentralized Autonomous Regulated Company (DARC) is a virtual machine running on any Ethereum Virtual Machine-compatible blockchain, with an on-chain legal system, multi-level tokens, and dividend mechanisms. It aims to establish a decentralized autonomous company governed by commercial laws. The project is still in the early stages of development and is not yet ready for production use.
Data Engineering Handbook: Learning Resources and Advice
- Creation period: 30 days
- Number of Stars: 3992
- Number of Forks: 609 times
- Number of followers: 3992 people
- Number of contributors: 28 people
- Number of Open Issues: 5
- Github address: https://github.com/DataEngineer-io/data-engineer-handbook.git
The Data Engineering Handbook is a comprehensive repository of links to resources for learning data engineering, including project and interview advice.
Collection of information on making money through AI side hustle
- Creation cycle: 3 days
- Number of Stars: 1020
- Number of Forks: 94 times
- Number of followers: 1020 people
- Number of contributors: 1 person
- Number of Open Issues: 0
- Github address: https://github.com/bleedline/aimoneyhunter.git
This is a collection of information about using AI technology to make money as a sideline business. The content includes sharing of ideas for making money with AI technology, proven solutions for making money with technology, and sharing of ideas for making money from AI self-media, etc. It aims to enable people to use AI to intelligently do side jobs and earn extra income.
Mastering GitHub Copilot for AI Pair Programming
- Creation cycle: 20 days
- Development language: Python
- Agreement type: MIT License
- Number of Stars: 1470
- Number of Forks: 120 times
- Number of followers: 1470 people
- Number of contributors: 4 people
- Number of Open Issues: 2
- Github address: https://github.com/microsoft/Mastering-GitHub-Copilot-for-Paired-Programming.git
A 6-lesson course that teaches you everything you need to know to get the most out of GitHub Copilot and AI pair programming resources. Mastering GitHub Copilot for AI Pair Programming
Code implementation of weak to strong generalization paper
- Creation cycle: 7 days
- Development language: Python
- Agreement type: MIT License
- Number of Stars: 1845
- Number of Forks: 165 times
- Number of followers: 1845 people
- Number of contributors: 7 people
- Number of Open Issues: 7
- Github address: https://github.com/openai/weak-to-strong.git
This project contains code to implement a paper on weak-to-strong generalization, focusing on reimplementing a weak-to-strong learning setup for binary classification tasks. The code base includes fine-tuning a pre-trained language model and training on the labels of another language model. It also supports various losses described in the paper, such as confidence-assisted losses. Additionally, there is separate code for weak to strong generalization in a visual model setting (AlexNet -> DINO on ImageNet). The codebase is not fully tested and may undergo a major update in the coming week.
Namada - Rust implementation of cross-chain asset-agnostic privacy functionality
- Creation period: 532 days
- Development language: Rust
- License type: GNU General Public License v3.0
- Number of Stars: 1518
- Number of Forks: 677 times
- Number of followers: 1518 people
- Number of contributors: 49 people
- Number of Open Issues: 287
- Github address: https://github.com/anoma/namada.git
- Project homepage: https://namada.net
Namada is a Rust-implemented Proof-of-Stake L1 protocol designed to implement cross-chain asset-independent privacy functions.
VGen: Video synthesis code library developed by Alibaba Group Tongyi Lab
- Creation period: 43 days
- Development language: Python
- Number of Stars: 857
- Number of Forks: 103 times
- Number of followers: 857 people
- Number of contributors: 3 people
- Number of Open Issues: 16
- Github address: https://github.com/damo-vilab/i2vgen-xl.git
- Project homepage: https://i2vgen-xl.github.io
VGen is an open source video synthesis code library developed by Alibaba Group Tongyi Lab, using the most advanced video generation model. It includes methods such as high-quality image-to-video synthesis, combinatorial video synthesis with motion controllability, text-to-video generation, using human feedback to guide video diffusion models, and more. VGen can generate high-quality videos from input text, images, desired motions, themes, and feedback signals, and provides a variety of video generation tools.
Anydoor Project: Zero-shot object-level image customization
- Creation period: 156 days
- Development language: Python
- Agreement type: MIT License
- Number of Stars: 1173
- Number of Forks: 87 times
- Number of followers: 1173 people
- Number of contributors: 1 person
- Number of Open Issues: 8
- Github address: https://github.com/damo-vilab/AnyDoor.git
- Project homepage: https://damo-vilab.github.io/AnyDoor-Page/
The Anydoor project has released an official implementation of their paper, including training, inference, demo code, and pre-training checkpoints. They also plan to release a new version of the paper and support online presentations. In addition, they are working to scale up the training data and release more powerful models for downstream region generation tasks, as well as specific design models for tasks such as virtual try-on, face swapping, text and logo transfer, and more.
Amphion: an open source toolkit for audio, music and speech generation
- Creation period: 35 days
- Development language: Python
- Agreement type: MIT License
- Number of Stars: 930
- Number of Forks: 100 times
- Number of followers: 930 people
- Number of contributors: 11 people
- Number of Open Issues: 6
- Github address: https://github.com/open-mmlab/Amphion.git
- Project homepage: https://openhlt.github.io/amphion/
Amphion is an open source toolkit for audio, music, and speech generation designed to support reproducible research and help junior researchers and engineers get started. It provides visualizations of classic models and architectures, and aims to provide a platform for studying the conversion of various inputs into audio. In addition, it supports individual generation tasks such as text-to-speech, singing voice synthesis, speech conversion, singing voice conversion, text-to-audio, and text-to-music. It also includes vocoder and evaluation metrics for generating high-quality audio signals and ensuring consistent metrics across generation tasks.