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ML & AI

Collection by Thomas Spreng

huemint.com

Color palette generator

Mar 2nd · Huemint uses machine learning to create unique color schemes for your brand, website or graphic Launch
Shared by 27, including Thomas Spreng, ᴄʟᴀᴜᴅɪᴏ sᴄʜᴡᴀʀᴢ
color palettes
machine learning
Notion

Notion – Login

From 2015 · A new tool that blends your everyday work apps into one. It's a unified and collaborative workspace for you and your team
Shared by 2259, including Naval, Wes Bos, Ryan Hoover, Michael Hyatt, Baratunde, swissmiss, OM, erik spiekermann, Chris Coyier, Gary Vaynerchuk, Evan Kirstel the $B2B Techfluencer, hiten.eth, FearMonger, jason@calacanis.com, Meltem Demirors, Julian Shapiro, Darren Rowse, Andrew Wilkinson, Jeff Atwood, tylercowen
career
product management
innovation
atcold.github.io

DEEP LEARNING · Deep Learning

1 min read · From 2020 · DS-GA 1008 · SPRING 2020 · NYU CENTER FOR DATA SCIENCE Description This course concerns the latest techniques in deep learning and representation learning, focusing on supervised and unsupervised deep…
Shared by 48, including Yann LeCun, Arne Keuning, Dr. Ganapathi Pulipaka 🇺🇸, Alexander Seifert, Vikram Dutt, Thomas Spreng, William El Kaim, Matt Shaffer, Christopher D. Long (Крістофер Д. Лонг)
replicate.ai

Replicate – Version control for machine learning

1 min read · 2020-11-20 · Automatically track your experiments and models with two lines of code. Open source and community-built.
Reader View · Shared by 10, including andre hollstein, Thomas Spreng
prodi.gy

Prodigy - Radically efficient machine teaching

1 min read · From 2017 · Annotation is usually the part where projects stall. Instead of having an idea and trying it out, you start scheduling meetings, writing specifications and dealing with quality control. With Prodigy,…
Reader View · Shared by 75, including Kaggle, AIKing.Eth - Vincent Boucher, Moritz Klack, Thomas Spreng, Scott Murray, sircharlsxavier, Dayyan Smith, Thomas Telandro, Alexander Seifert, Oleg Baskov, Niklaus Gerber, Chris Messina, Pete Skomoroch, René Clausen Nielsen, Ines Montani 〰️, Lukas Biewald
artificial intelligence
machine learning
tagging
medium.com

How to speed up the training of the sequence model using bucketing techniques?

8 min read · From 2020 · This is the Bottom Up approach Series, Comes with to two Stories
Reader View · Shared by 4, including Thomas Spreng
rnn
trax-ml.readthedocs.io

Trax Tutorials — Trax documentation

2020-08-13
Shared by 4, including Thomas Spreng
machine learning
frameworks
medium.com

Machine Learning for Humans🤖👶

10 min read · From 2017 · The ultimate guide to machine learning. Simple, plain-English explanations accompanied by math, code, and real-world examples.
Reader View · Shared by 212, including Thomas Power, John Hues, Ha Duong, Agustin, uri0x.eth, Nico Müller 🇺🇦, Jo Alchin, Tom Connor, Chung Chen, Sara Tian, haldimann, Lluís Codina, Twitty, Galen King, Ferit (at 🏠) 🌙, Patrick OShaughnessy, Florian Hanke 🍎, Marco Unternaehrer, Chintan Shah, Balda
machine learning
artificial intelligence
tutorials
MIT Technology Review

An algorithm that can spot cause and effect could supercharge medical AI

3 min read · From 2020 · The technique, inspired by quantum cryptography, would allow large medical databases to be tapped for causal links
Reader View · Shared by 189, including Merkstatt, Howard Getson, Nige Willson, Paolo Sinelli, Eric Topol, AI, Berci Meskó, MD, PhD, Ex Apologist, Beto Esquivel, sircharlsxavier, Tamara McCleary, Martin Ford, Brian D. Earp, Ph.D., Jennifer Stirrup - Next: #WWDVC #AI #Data #keynote, Marsha Collier, John Nosta, John Koetsier, Evan Kirstel the $B2B Techfluencer, Christopher D. Long (Крістофер Д. Лонг), Bob E. Hayes
artificial intelligence
healthtech
Kaggle

How Bestpetting cheated

From 2020 · Using data from multiple data sources
Shared by 9, including Thomas Spreng, Real Python
polyaxon.com

Polyaxon

1 min read · From 2018 · An enterprise-grade open source platform for building, training, and monitoring large scale deep learning applications. Get Started Install View on Github Scale your machine learning infrastructure…
Reader View · Shared by 14, including Vikram Dutt, Steed Monteiro, Thomas Spreng, Nico Müller 🇺🇦, Marco Unternaehrer
deep learning
distributed
kubernetes
mlflow.org

MLflow - A platform for the machine learning lifecycle

1 min read · From 2018 · An open source platform for the end-to-end machine learning lifecycle
Shared by 19, including Data Science Renee, Thomas Spreng, Dr. Craig Brown, Nico Müller 🇺🇦
karpathy.github.io

A Recipe for Training Neural Networks

~14 min read · From 2019 · 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…
Reader View · Shared by 81, including Sebastian Raschka, Travis Bogard, Chintan Shah, Warren Whitlock, Soumith Chintala, Vikram Dutt, Pete Skomoroch, Stanford NLP Group, Thomas Spreng, Alexander Seifert
neural networks
Nat Eliason

Summaries, Notes, and Lessons from Books I've Read

20+ min read · From 2018 · My growing collection of notes from 200+ books, as well as the occasional article, video, documentary, and more. Organized by category and rating.
Reader View · Shared by 35, including Ethan Anderson, Bill Johnston, Taylor Pearson, Tauno, Thomas Spreng
books
productivity
podcasts
spacy.io

spaCy.io | Build Tomorrow's Language Technologies

2 min read · From 2016 · spaCy is a free open-source library featuring state-of-the-art speed and accuracy and a powerful Python API.
Reader View · Shared by 112, including Grégoire Japiot 🌻, Florian Hanke 🍎, Chris Messina, Herbert Bay, Cameron Yick, Ahmad Ragab, Brian, Dominik Grolimund, Philipp Laurim, Mike Ivars, Joona Tuunanen 🇫🇮, Nico Müller 🇺🇦, Mic King, Jesús Torres 👩‍💻, von Moerenburgh, Alexis Sanders 🇺🇦, Pete Skomoroch, William El Kaim, René Clausen Nielsen, Cindy Krum 📱
nlp
python
natural language
analyticsvidhya.com

Introduction to StanfordNLP: An Incredible State-of-the-Art NLP Library for 53 Languages (with Python code)

~13 min read · From 2019 · Introduction A common challenge I came across while learning Natural Language Processing (NLP) – can we build models for non-English languages? The answer has ...
Reader View · Shared by 8, including Stanford NLP Group, Thomas Spreng
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