Trending ML repos of the week 📈
Tags: machinelearning, opensource, github
Published: 2023-04-04 18:26:37

Hey there! 👋 Welcome to `#TrendingTuesday`

This week we'll look into the fastest growing **machine-learning repos** of the week

Our weekly trending lists take into account the historical performance of similar repos and the repo's current growth stage. For this reason, you’ll find some gems here that you won’t see anywhere else 💎

Remember to follow us on Twitter [`@quine`](https://twitter.com/quine_sh) and stay up-to-date with new product announcements 🐦

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9️⃣  In the ninth place we have [`markprompt`](https://www.github.com/motifland/markprompt), a tool for creating GPT-powered prompts from Markdown files in your GitHub repo. It includes a React component for building the prompts, as well as analytics to track user interactions with your docs!


It was brought to you by the team at [`@motifland`](https://twitter.com/motifland) and has _~7 issues_ and _~5 contributors_.


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8️⃣ Next is [`ebook-GPT-translator`](https://www.github.com/jesselau76/ebook-GPT-translator), an OpenAI powered tool that translates text to multiple languages and even converts it to other file formats like PDF, DOCX, EPUB, and MOBI.

It was created by [`@jesselaunz`](https://twitter.com/jesselaunz) and has _~15 issues_ and _~3 contributors_.

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7️⃣ In number seven we have [`opencommit`](https://www.github.com/di-sukharev/opencommit), a GPT-powered program for the CLI that allows you to generate impressive commit messages in one second! You can configure it to preface commits with an emoji and post-face them with description of changes.

Really impressive (and useful) project by [`@io_Y_oi`](https://twitter.com/io_Y_oi). It has _~42 issues_ and _~23 contributors_.

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6️⃣ [`Dolly`](https://www.github.com/databrickslabs/dolly) is a large language model trained on the [`@databricks`](https://twitter.com/databricks) Machine Learning Platform, based on the GPT-J model.

It has been fine-tuned on a focused corpus of 50k records (Stanford Alpaca) to exhibit high-quality instruction-following behaviour. Dolly is intended exclusively for research purposes and is not licensed for commercial use 👀

The project has _~1 issue_ and _~4 contributors_.

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5️⃣ Next we have[`scrapeghost`](https://www.github.com/jamesturk/scrapeghost), a library for scraping websites using OpenAI's GPT API with the mission to make web scraping very easy. The repo includes a  Python-based schema definition, HTML cleaning, CSS and XPath selectors, and auto-splitting.

The project has _~10 issues_ and _~1 contributor_.


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4️⃣ In number four we have [`xturing`](https://www.github.com/stochasticai/xturing), a project that aims to provide an easy-to-use interface for fast and efficient fine-tuning of LLMs, such as GPT-J and GPT-2, with an aim to make it simple to personalise LLMs for your own data and applications. 

It was brought to you by [`@stochasticai`](https://twitter.com/stochasticai).

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3️⃣ In the third place, we have [`BlenderGPT`](https://www.github.com/gd3kr/BlenderGPT), an addon that enables users to use natural language commands to interact with Blender (a 3D modeling software). It's powered by OpenAI's GPT-3.5/GPT-4.

It has _~33 issues_.

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2️⃣ In second place we have [`Text2Video-Zero`](https://www.github.com/Picsart-AI-Research/Text2Video-Zero) by [`@picsartai`](https://twitter.com/picsartai), which is the original repo for the `Text2Video-Zero` model. This model introduces a low-cost approach for zero-shot text-to-video generation without any training or optimisation.

The creators want to democratise AI and empower everyone's creativity, so they welcome external contributions. The repo has _~8 issues_ and _~6 contributors_.


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1️⃣ The top place goes to [`ZrrSkywalker/LLaMA-Adapter`](https://www.github.com/ZrrSkywalker/LLaMA-Adapter), which is the official implementation of the [`LLaMA-Adapter`], a new model that uses a small amount of data to turn a general language model into an instruction-following model. The method introduces a small number of learnable parameters and uses an  attention mechanism to adaptively incorporate instructional signals, resulting in high-quality instruction-following sentences. A web demo is available.

The repo has _~6 issues_ and _~3 contributors_.

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We’ll write about trending repos on different topics and languages EVERY WEEK. Follow us here and on Twitter [`@quine`](https://twitter.com/quine_sh) to stay in the loop!

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