Trending ML repos of the week 📈
Tags: news, github, machinelearning, trendingtuesday
Published: 2023-01-31 13:56:30

Hello everyone 👋 and welcome to `#TrendingTuesday`. Every Tuesday we'll post a list of trending GitHub repos in a cool and interesting topic.

There's lots of chatter around `#ChatGPT`, so this week we're bringing you a list of the fastest-growing ML repos on GitHub.

### 🔟 [dair-ai/ML-Papers-Explained](https://github.com/dair-ai/ML-Papers-Explained)

In place number 10 we have repo that indexes some of the most important ML and NLP papers with pointers to open articles and blogposts that deconstruct them in a way that most developers can understand. Have a look if you want to gain a deeper understanding of the main technology behind today's most famous chatbot.

### 9️⃣ [ahmedbahaaeldin/From-0-to-Research-Scientist-resources-guide](https://github.com/ahmedbahaaeldin/From-0-to-Research-Scientist-resources-guide)

Next, in place number 9, we have another great educational repo that traces the learning journey to follow in order to become a research scientist. This guide is targeted to developers with basic programming or CS knowledge, but _very motivated_ in deep learning or NLP research.

### 8️⃣ [jerryjliu/gpt_index](https://github.com/jerryjliu/gpt_index)

In number 8 we have a GPT-related repo that is targeted to practitioners and ML engineers. GPT-Index consists of a set of data structures designed to make it easier to use large external knowledge bases with LLMs.

### 7️⃣ [mage-ai/mage-ai](https://github.com/mage-ai/mage-ai)

Mage-ai falls in the ML/data/infra category and claims to be the modern replacement for Airflow, a very popular open source workflow platform for data engineering pipelines. With 3.3k stars and 21 contributors, it's worth checking it out!

### 6️⃣ [karpathy/nn-zero-to-hero](https://github.com/karpathy/nn-zero-to-hero)

This is a relatively new repo by Andrej Karpathy who was formerly Director of AI at Tesla. The repo contains a series of YouTube videos where viewers code and train neural network. It's really cool to see two "_zero-to-hero_" type of repos in a single week. Jupyter notebooks are included in the box.


### 5️⃣ [laion-ai/Open-Assistant](https://github.com/LAION-AI/Open-Assistant)

Place number five is an amazing project that envisions to replace ChatGPT by creating a personal assistant able to write emails, cover letters, use APIs, and much more. It's a really ambitious project that is also quickly onboarding new contributors. If you have some ML experience and you want to get your hands dirty by contributing to a new project, this might be a good place to start.

### 4️⃣ [lencx/ChatGPT](https://github.com/lencx/ChatGPT)

In place number four we have a very sleek app to interface with ChatGPT from the comfort of your desktop. The project was built in Rust 👌

### 3️⃣ [google-research/tuning_playbook](https://github.com/google-research/tuning_playbook)

The third most starred repo was created by researchers at Google Brain and Harvard University, who created a playbook for tuning neural networks. This repo is helping ML practitioners get on top of the tuning process by sharing good tricks and best-practices from one of the best AI labs in the world.

### 2️⃣ [karpathy/nanoGPT](https://github.com/karpathy/nanoGPT) 

Spot number two is also by Andrej Karpathy 🤯. This is a repo designed to to _train_ and _finetune_ GPT networks. It is a less educational version of his previous repo **karpathy/minGPT**. It is definitely worth studying to _really_ understand GPT networks.

### 1️⃣ [f/awesome-chatgpt-prompts](https://github.com/f/awesome-chatgpt-prompts)

The top place is for **f/awesome-chatgpt-promts** which is an `#awesome` list that collects prompt examples to use ChatGPT like a PRO. Courtesy of the developer who also snapped the “**@f**” username on GitHub

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Which topics would you like to see trending repos for? Let us know in the comments :)