RepoAlerts

Ojhaharsh/30u30

Can I trust it?

Be careful with this one.

  • Stars from real accounts No data

    We haven't checked its stars for fakes yet.

  • Active Careful

    Last change 243 days ago: it may be unmaintained.

  • Licence Careful

    No licence: legally you can't reuse the code, unless the README says otherwise.

Quick checks from public data. They help, but they are no guarantee.

What it is

A study guide that walks through 30 foundational AI papers recommended by Ilya Sutskever, one per day. Each paper has a from-scratch implementation, notes, exercises with solutions, and visualizations, mostly in Python and Jupyter notebooks.

Who it's for

Developers and students learning deep learning fundamentals who want to implement classic papers themselves

How to use it

Ask your AI to set it up

Paste this into Claude, ChatGPT or your coding assistant.

Help me install and set up Ojhaharsh/30u30 in my project. Follow its README: https://github.com/Ojhaharsh/30u30. Explain each step and check it is safe before running anything.

Read the README

Star curve

1.2KFrom 25 to 1,169 stars between 15 Sept 2026 and 20 Oct 2026.

On the radar

19 Oct 2026: #89
Best place #89, on 19 Oct 2026. In the top 100 on 1 of the last 3 days.

Its place among the radar's top 100, day by day, with #1 at the top. Gaps are days it was out of the top 100.

Records

  • Best place on RepoAlerts: #89, on 19 Oct 2026

Alternatives

Similar projects named in its profile. Each link searches the directory.

Get alerts for repos like this

We'll email you when repos like this start rising. Free, once a week, only what matches.

18,265 GitHub repos watched and ranked every hour. Figures as of 20 October 2026.

What arrives: one email on Mondays with the repos that match, never more. See last week's. Privacy

For maintainers

Add this badge to your README. It shows the repo's place on the radar, updates every hour and links back to this page.

[![Ojhaharsh/30u30 on RepoAlerts](https://repoalerts.com/badge/Ojhaharsh/30u30.svg)](https://repoalerts.com/repo/Ojhaharsh/30u30?ref=badge)
Share on X

  • Hongyang-Du/PaperLeet

    An offline practice library for turning research papers into code. It offers 49 papers and 63 exercises covering attention, reinforcement learning, diffusion and flow, and related methods. Each exerci

    Python · 152 stars · +152 this week · 7 days old

  • Fazmin/AILearningGuide

    An interactive desktop app with 51 hands-on labs covering ML fundamentals, transformers, RAG, agents, fine-tuning and quantization. Each lab pairs a short lesson with a live demo, quizzes and optional

    TypeScript · 215 stars · +176 this week · 16 days old

  • chenxiachan/textfold

    A Python tool that folds papers, web pages, files and AI replies into five levels of detail, from the full text to a one-word topic map. It runs locally and can connect to a model you already have, wi

    Python · 400 stars · +267 this week · 16 days old

  • AhernResearch/grava

    Project overview for GRAVA, a vision-language-action framework for autonomous driving that links visual references and physical states to reasoning and planner actions. It serializes grounded reasonin

    Models & inference294 stars · +130 this week · 39 days old

  • nichochar/ari

    A local, single-user web app where you chat with an AI tutor to build a curriculum or lesson, then work through exercises on paper. A camera above the page lets the tutor see your handwriting, and it

    AI agentsTypeScript · 159 stars · +159 this week · 2 days old

  • justxor/deepseek-local-guide-ru

    A Russian-language guide for installing and running DeepSeek models locally on PC, Mac and servers. Covers Ollama, llama.cpp, LM Studio, vLLM, SGLang and Open WebUI, plus API usage, RAG, agents and fi

    Models & inferenceShell · 125 stars · +125 this week · 3 days old