I made a Claude Code skill that turns any arxiv paper into working code. Every line traces back to the paper section it came from & any implementation detail the paper skips will be flagged, and not assumed. open sourcing it - github.com/PrathamLearnsT…

Want to build your own FPGA from scratch? Not program one — actually build it. 99% of engineers can’t. Here’s why 👇

Why FPGA engineers get paid more? FPGA engineers are rare. Not because it’s hard… But because most people quit too early. You need to understand: •digital logic •timing •hardware •debugging without printf

If you’re in AI/ML, software engineering, quant finance, management, or marketing/growth, learn mathematical physics. You’ll never regret it. You’ll thank me in the future. Mathematical Physics: - Vector Algebra & Calculus - Matrices & Linear Algebra - Differential Equations -

Biggest lie in FPGA: “Just learn Verilog and you’re good.” Wrong. Here’s the truth 👇

Electronics beginners should know the meaning of component symbols printed on PCB

Sites you can download practice Dataset 1. statista.com 2. data.gov 3. trends.google.com 4. datasetsearch.research.google.com 5. archive.ics.uci.edu 6. Kaggle.com 7. data.worldbank.org 8. mavenanalytics.io/data-playground

A math degree is 1000x time more useful than a computer science degree. My repo got it covered. github.com/valeman/Awesom… #math

Psalm 119:37

有人刚刚开源了整个常春藤盟校的数学和科学课程。 斯坦福、麻省理工、哈佛……全部课程。集中在一个地方。完全免费。 Github：github.com/Developer-Y/ma…

The Robotics field thrives today because robotics engineers do not gatekeep knowledge. 🪧When a new LiDAR sensor hits the market, someone sits down and writes the software that lets a robot talk to it. They could keep it internal, instead they push it to GitHub with a clean

engineering is the highest form of art

mathnet.csail.mit.edu This is a gold mine for all #math lovers. A huge collection of Olympiad-level math problems. Massachusetts Institute of Technology (MIT)

⭕️BOOKMARK Worthy: This guy literally built a full set of notebooks that actually teach deep learning, from basics to transformers. udlbook.github.io/udlbook/ Notebook 1.1 - Background mathematics Notebook 2.1 - Supervised learning Notebook 3.1 - Shallow networks I Notebook 3.2 -

x.com/i/article/2046…

Benjamin Todd 1. I never said LLMs were not useful. They are, particularly with all the bells and whistles that are being added to them. I use them. 2. A robot-rich future can't be built with AIs that don't understand the physical world and don't anticipate the consequences of their actions.

Robotics is awesome! 🤩 So if robotics is awesome, you need awesome resources. This repo with over 6k ⭐️ is even named 'awesome'. Coincidence? I don't think so! 👀 Awesome Robotics is a curated collection of robotics courses, books, software, papers, conferences, and

Thinking about building a startup in 2026 ? Don't miss this repo 🫰 Founders Kit - github.com/avinash201199/… Bookmark it!

must read for everyone who wants to reduce the entropy of their agentic systems

Stanford's latest seminar is a deep dive into the evolution of world modeling in AI. Focuses on the shift in the world model from traditional reconstruction methods toward latent space prediction. Covers topics like: - Introduction to JEPA & World Models - Causal JEPA - LOWER