How These Top Github Projects of 06/14/2023 Captivated Developers Today!

Projects that have already appeared in previous Github ranking lists will not display details, please refer to previous lists for information.

Rank #1 AntonOsika/gpt-engineer
https://github.com/AntonOsika/gpt-engineer
Specify what you want it to build, the AI asks for clarification, and then builds it.
Language: Python
Stars: 3,644(470 stars today) Forks:512
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Rank #2 xiangsx/gpt4free-ts
https://github.com/xiangsx/gpt4free-ts
Providing a free OpenAI GPT-4 API ! This is a replication project for the typescript version of xtekky/gpt4free
Language: TypeScript
Stars: 4,701(1,893 stars today) Forks:575
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Rank #3 AI4Finance-Foundation/FinGPT
https://github.com/AI4Finance-Foundation/FinGPT
Data-Centric FinGPT. Open-source for open finance! Revolutionize 🔥 We’ll soon release the trained model.
Language: Jupyter Notebook
Stars: 1,760(498 stars today) Forks:221
FinGPT is an open-source project for open finance, developed by the AI4Finance Foundation. It is a large language model (LLM) that uses natural language processing (NLP) to analyze and understand financial data. FinGPT is designed to be lightweight and adaptable, making it a cost-effective solution for financial language modeling. It can be fine-tuned swiftly to align with new data, which is highly favorable in finance where the landscape changes rapidly. FinGPT democratizes internet-scale financial data by providing a more accessible alternative to BloombergGPT, which has privileged data access and APIs. The key technology used in FinGPT is “RLHF (Reinforcement learning from human feedback)”, which enables the model to learn individual preferences. FinGPT has various commercial applications in the finance industry, including personalized robo-advisors, risk analysis, and investing habits analysis. The project has two versions: FinGPT V1 for the Chinese financial market and FinGPT V2 for the American financial market. The project is shared for academic purposes under the MIT education license and is not financial advice or a recommendation to trade real money.
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Rank #4 Licoy/ChatGPT-Midjourney
https://github.com/Licoy/ChatGPT-Midjourney
🎨 一键拥有你自己的 ChatGPT+Midjourney 网页服务 | Own your own ChatGPT+Midjourney web service with one click
Language: TypeScript
Stars: 2,219(466 stars today) Forks:469
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Rank #5 facebookresearch/audiocraft
https://github.com/facebookresearch/audiocraft
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.
Language: Python
Stars: 6,083(1,091 stars today) Forks:466
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Rank #6 ordinals/ord
https://github.com/ordinals/ord
👁‍🗨 Rare and exotic sats
Language: Rust
Stars: 1,947(47 stars today) Forks:569
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Rank #7 gopherchina/conference
https://github.com/gopherchina/conference

Language:
Stars: Star(56 stars today) Forks:1,507
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Rank #8 camenduru/MusicGen-colab
https://github.com/camenduru/MusicGen-colab

Language: Jupyter Notebook
Stars: 133(31 stars today) Forks:13
MusicGen is an open-source project that generates music using deep learning models. The project provides several Colab notebooks that allow users to generate music of varying lengths and complexity. MusicGen uses a deep learning model to generate music that follows a certain style or genre. Users can input parameters such as beats per minute, sound quality, and time signature to customize the generated music. MusicGen can be applied in various fields such as music production, music education, and entertainment. Commercial applications of MusicGen include music production software, music streaming services, and video game soundtracks. The project provides a tutorial video and information on how to use the Top-k, Top-p, Temperature, and Classifier Free Guidance from ChatGPT to generate music. MusicGen is an excellent project for anyone interested in music and deep learning.
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Rank #9 Luodian/Otter
https://github.com/Luodian/Otter
🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind’s Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.
Language: Python
Stars: 1,721(253 stars today) Forks:151
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Rank #10 BloopAI/bloop
https://github.com/BloopAI/bloop
bloop is a fast code search engine written in Rust.
Language: Rust
Stars: 6,640(63 stars today) Forks:354
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Rank #11 openobserve/openobserve
https://github.com/openobserve/openobserve
🚀 10x easier, 🚀 140x lower storage cost, 🚀 high performance, 🚀 petabyte scale — Elasticsearch/Splunk/Datadog alternative for 🚀 (logs, metrics, traces).
Language: Rust
Stars: 3,473(454 stars today) Forks:125
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Rank #12 LemmyNet/lemmy-ui
https://github.com/LemmyNet/lemmy-ui
The official web app for lemmy.
Language: TypeScript
Stars: 447(34 stars today) Forks:156
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Rank #13 stefan-jansen/machine-learning-for-trading
https://github.com/stefan-jansen/machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Language: Jupyter Notebook
Stars: 8,438(235 stars today) Forks:3,081
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Rank #14 KenneyNL/Adobe-Alternatives
https://github.com/KenneyNL/Adobe-Alternatives
A list of alternatives for Adobe software
Language:
Stars: Star(116 stars today) Forks:24
Adobe Alternatives is a comprehensive list of alternatives for Adobe software. The list was originally collected by @XdanielArt and has been improved upon by the community. The project provides alternatives for various Adobe software, including Photoshop, Illustrator, Animate, InDesign, Substance, Lightroom, XD, Premiere, Acrobat, Bridge, Dreamweaver, Audition, and After Effects. The list includes both free and paid alternatives and provides information on whether the software is free and open source, free of charge, a single purchase, or a subscription-based service. Adobe Alternatives can be applied in various fields, including graphic design, video production, and web development. Commercial applications of Adobe Alternatives include graphic design software, video editing software, and website development tools. The project is an excellent resource for anyone looking for alternatives to Adobe software.
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Rank #15 jackMort/ChatGPT.nvim
https://github.com/jackMort/ChatGPT.nvim
ChatGPT Neovim Plugin: Effortless Natural Language Generation with OpenAI’s ChatGPT API
Language: Lua
Stars: 1,999(86 stars today) Forks:142
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Rank #16 isledecomp/isle
https://github.com/isledecomp/isle
A work-in-progress decompilation of LEGO Island (1997)
Language: C++
Stars: 760(95 stars today) Forks:37
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Rank #17 public-apis/public-apis
https://github.com/public-apis/public-apis
A collective list of free APIs
Language: Python
Stars: 243,790(454 stars today) Forks:27,798
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Rank #18 nextcloud/server
https://github.com/nextcloud/server
☁️ Nextcloud server, a safe home for all your data
Language: PHP
Stars: 22,747(14 stars today) Forks:3,541
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Rank #19 100xDevs-hkirat/Week-1-assignment
https://github.com/100xDevs-hkirat/Week-1-assignment

Language: JavaScript
Stars: 54(7 stars today) Forks:382
The FullStack Development Course Assignments (Week 1) is a project that provides assignments for students learning full-stack development. The project contains easy, medium, and hard assignments for week 1. The assignments are divided into two categories, 01-js, and 02-async-js. The first category contains assignments related to JavaScript, covering topics taught in the first class. The second category contains assignments related to asynchronous JavaScript, covering topics taught in the second class. The assignments are designed to help students practice and reinforce their understanding of the concepts taught in class. The project can be applied in the field of full-stack development and can be used by students, instructors, and educational institutions. Commercial applications of the project include online coding boot camps, educational software, and online learning platforms. The project provides an excellent resource for anyone interested in learning full-stack development.
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Rank #20 dessalines/jerboa
https://github.com/dessalines/jerboa
A native android app for Lemmy
Language: Kotlin
Stars: 484(93 stars today) Forks:85
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Rank #21 imClumsyPanda/langchain-ChatGLM
https://github.com/imClumsyPanda/langchain-ChatGLM
langchain-ChatGLM, local knowledge based ChatGLM with langchain ｜ 基于本地知识库的 ChatGLM 问答
Language: Python
Stars: 9,049(121 stars today) Forks:1,254
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Rank #22 hwchase17/langchain
https://github.com/hwchase17/langchain
⚡ Building applications with LLMs through composability ⚡
Language: Python
Stars: 47,483(349 stars today) Forks:5,628
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Rank #23 ianstormtaylor/slate
https://github.com/ianstormtaylor/slate
A completely customizable framework for building rich text editors. (Currently in beta.)
Language: TypeScript
Stars: 27,172(7 stars today) Forks:3,138
Slate is a completely customizable framework for building rich text editors. The project provides a series of plugins that allow developers to build rich, intuitive editors like those in Medium, Dropbox Paper, or Google Docs without the codebase getting mired in complexity. Slate is built on top of React and is inspired by libraries like Draft.js, Prosemirror, and Quill. The project is currently in beta, with its core API usable, but some of its APIs are not finalized and may have breaking changes over time. Slate is contributor-driven and not backed by any huge company, which means that all contributions are voluntary. The project can be applied in various fields, including content creation, publishing, and document management. Commercial applications of Slate include content management systems, document editing tools, and publishing platforms. The project provides an excellent resource for developers looking to build rich text editors.
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Rank #24 JushBJJ/Mr.-Ranedeer-AI-Tutor
https://github.com/JushBJJ/Mr.-Ranedeer-AI-Tutor
A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.
Language:
Stars: Star(412 stars today) Forks:1,241
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Rank #25 ag-grid/ag-grid
https://github.com/ag-grid/ag-grid
The best JavaScript Data Table for building Enterprise Applications. Supports React / Angular / Vue / Plain JavaScript.
Language: TypeScript
Stars: 10,151(7 stars today) Forks:1,659
AG Grid is a fully-featured and highly customizable JavaScript data grid that delivers outstanding performance, has no third-party dependencies, and integrates smoothly with all major JavaScript frameworks. The project provides a wide range of features, including column interactions, pagination, sorting, row selection, grouping/aggregation, accessibility support, custom filtering, in-place cell editing, records lazy loading, server-side records operations, live stream updates, hierarchical data support and tree view, customizable appearance, customizable cell contents, state persistence, keyboard navigation, data export to CSV and Excel, Excel-like pivoting, row reordering, copy/paste, column spanning, pinned rows, full-width rows, integrated charting, and sparklines. The project is available in two versions, ag-grid-community and ag-grid-enterprise, with the latter providing additional features. AG Grid can be applied in various fields, including data management, data visualization, and business intelligence. Commercial applications of AG Grid include data management software, business intelligence tools, and data visualization platforms. The project provides an excellent resource for developers looking to build highly customizable and performant data grids.
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