Superhuman Reviews

micrograd Reviews

Superhuman mentions (26)

• Building a Superhuman-Style Collaborative Email Editor with Next.js and Velt🔥

  A Superhuman-style email interface with a clean inbox and focused email preview. - Source: dev.to / 3 months ago

• Are Sync Engines The Future of Web Applications?

  Remember I said that some apps address these issues much better than others? Recent famous examples are Linear and Figma. Both have disrupted incredibly competitive markets by being technologically superior. Other examples are Superhuman and a decade prior, Trello. When you look into what they did, you discover that they all converged on very similar patterns, and they all developed their respective... - Source: dev.to / about 2 years ago

• Should we be adding Keyboard Shortcuts to our websites?

  Then there is the mother of all. Superhuman, advocating for productivity in emails:. - Source: dev.to / over 2 years ago

• 25 Best Productivity Apps: 2023 Review Guide

  Email is one of those unavoidable things that can eat up a ton of our time -- while causing a great deal of anxiety to boot. Superhuman is an AI-powered email app designed for busy professionals seeking a blazingly fast email experience. With dozens of features like automatically prioritizing emails based on the recipient, follow-up reminders, automated phrases and email copy, along with event scheduling,... - Source: dev.to / almost 3 years ago

• What are your top productivity tools?

  Other tools I use: Superhuman for Email, Akiflow for tasks and calendar, Roam for notes/PKB, and one sec to reduce opening distracting apps. Source: about 3 years ago

micrograd mentions (5)

• Don't fork the code — fork the design: introducing DeepFork

  I built the first version of DeepFork to understand micrograd — Andrej Karpathy's 100-line autograd engine. Most people read micrograd for the aha moment. DeepFork turns that moment into an artifact. - Source: dev.to / about 2 months ago

• Andrej Karpathy's Neural Networks: Zero to Hero — 1) Intro to Neural Networks and Backpropagation

  Karpathy built a small project called micrograd. You can see the code here. This is made up of just a few simple lines of code, but it shows us how neural networks are built under the hood. In the video, he demonstrated how to build Micrograd and how it works step by step. - Source: dev.to / 2 months ago

• Bun ported to Rust in 6 days

  It can happen like this: - write sleek operator-overloading-based code for simple mathematical operations on your custom pet algebra - decide that you want to turn it into an autograd library [0] - realise that you now need either `RefCell` for interior mutability, or arenas to save the computation graph and local gradients - realise that `RefCell` puts borrow checks on the runtime path and can panic if you get... - Source: Hacker News / 3 months ago

• Visual Introduction to PyTorch

  Good introduction! Building pytorch-lite using python and numpy is the way to go. Free book: https://zekcrates.quarto.pub/deep-learning-library/ Ml by hand : https://github.com/workofart/ml-by-hand Micrograd: https://github.com/karpathy/micrograd. - Source: Hacker News / 6 months ago

• Porting micrograd to C++: Step One of Getting My Hands Dirty Again

  Let me be completely honest: I didn't invent anything here. This is Andrej Karpathy's brilliant micrograd ported to C++, nothing more, nothing less. But sometimes the best way to really understand something is to rebuild it in a different language, and that's exactly what I needed. - Source: dev.to / 11 months ago