Tech
List of tech topics and software development tools & resources, mainly cloud, python, ML topics.
Collection by Thomas Spreng
Papers with Code
Papers with Code : the latest in machine learning
20+ min · · Papers with Code highlights trending ML research and the code to implement it. · Shared by 213, including Nico Müller 🇺🇦, Florian Hanke 🍎, Privacy Matters, Pete Skomoroch, Nando de Freitas 🏳️🌈, Javi Cantón @javicanton@mas.to, { Monah } 💡, Brian T. Edwards, rogerverhoeven, Jennifer Doleac, Mark Pitman, Sebastian Raschka, Cameron Yick ~ @hydrosquall@vis.social on mastodon, Thomas Telandro, Vikram Dutt, AGI.Eth | MTL.Eth, Christopher D. Long, Dominik Grolimund, Eric Elliott, von Moerenburgh
authjs.dev
Auth.js
3 min · · Authentication for the web. · Shared by 13, including Rich Harris, Thomas Spreng, Yoav Ganbar (🥑 Builder.io/Qwik)
planetscale.com
Home
1 min · · Shared by 36, including Matt, Thomas Spreng, Marius Bleuer, Balda, Brian Lovin
muffinman.io
Frontend & Creative Coding
· Hello, I'm a software engineer in Amsterdam, making digital products and generative art. · Shared by 6, including Thomas Spreng
mannhowie.com
User Interface Design: 5 Rules of Thumb
1 min · · UI design patterns for web apps: 1) Use defaults; 2) Obvious settings; 3) Show progress; 4) Don’t interrupt; 5) Flat hierarchy · Shared by 6, including Thomas Spreng
modal.com
Modal: On-demand compute that just works
· Modal helps people run code in the cloud. We think it's the easiest way for developers to get access to containerized, serverless compute without the hassle of managing their own infrastructure. · Shared by 11, including Thomas Spreng, 瑞拿頭
b-list.org
Boring Python: code quality
16+ min · · This is the second in a series of posts I intend to write about how to build, deploy, and manage Python applications in as boring a way as possible. In the first post in the series I gave a definition… · Shared by 12, including Real Python, Thomas Spreng
git.herrbischoff.com
awesome-macos-command-line - Use your macOS terminal shell to do awesome things.
20+ min · · A curated list of shell commands and tools specific to macOS. “You don’t have to know everything. You simply need to know where to find it when necessary.” (John Brunner) If you want to contribute,… · Shared by 12, including Thomas Spreng
rive.app
Rive - Bring your apps and games to life with real-time animation.
· Shared by 58, including Jesús Torres 👩💻, Boris Périsset, Thomas Spreng, Chris R Becker, Sam Soffes, Chris Messina, Bri Kimmel
spacy.io
spaCy.io | Build Tomorrow's Language Technologies
2 min · · spaCy is a free open-source library featuring state-of-the-art speed and accuracy and a powerful Python API. · Shared by 125, including von Moerenburgh, René Clausen Nielsen, Chris Messina, Herbert Bay, Florian Hanke 🍎, Philipp Laurim, Galen King, Grégoire Japiot 🌻, Cameron Yick ~ @hydrosquall@vis.social on mastodon, Chris Winfield - Understanding A.I., William El Kaim, Brian, Mic King, Dominik Grolimund, Mike Ivars, Alexis Sanders, Pete Skomoroch, Nico Müller 🇺🇦, Jesús Torres 👩💻, Cindy Krum 📱
medium.com
DeepLearning series: Sequence Models
8 min · · This blog will cover the different architectures for Recurrent Neural Networks, language models, and sequence generation. I will go over… · Shared by 3, including Thomas Spreng
medium.com
Opportunities for Machine Learning/AI in Radiology
4 min · · Radiologist’s Intro to Machine Learning — 10 Part Series · Shared by 3, including Thomas Spreng
medium.com
An Introduction to Recurrent Neural Networks
7 min · · A way to teach Machines how to comprehend Natural Languages. · Shared by 7, including Thomas Spreng
Nat Eliason
Summaries, Notes, and Lessons from Books I've Read
20+ min · · My growing collection of notes from 200+ books, as well as the occasional article, video, documentary, and more. Organized by category and rating. · Shared by 53, including Ramesh Mangalagiri, Thomas Spreng, Ethan Anderson, Taylor Pearson, Mark Kaigwa, Matt Mullenweg, Tauno, Bill Johnston
karpathy.github.io
A Recipe for Training Neural Networks
14+ min · · Some few weeks ago I posted a tweet on “the most common neural net mistakes”, listing a few common gotchas related to training neural nets. The tweet got quite a bit more engagement than I anticipated… · Shared by 82, including Stanford NLP Group, Travis Bogard, Chintan Shah, Warren Whitlock, Soumith Chintala, Vikram Dutt, Pete Skomoroch, Sebastian Raschka, Thomas Spreng, Alexander Seifert
medium.com
Machine Learning for Humans🤖👶
10 min · · The ultimate guide to machine learning. Simple, plain-English explanations accompanied by math, code, and real-world examples. · Shared by 272, including Thomas Power, Sara Tian, Ha Duong, Agustin, Balda, Ferit (at 🏠) 🌙, Jo Alchin, John Hues, Tom Connor, Thomas Spreng, Chung, Lluís Codina, Nico Müller 🇺🇦, Galen King, uri, Patrick OShaughnessy, Florian Hanke 🍎, Marco Unternaehrer, haldimann, Chintan Shah