Skip to content
View reevalex's full-sized avatar
3 followers · 16 following

Block or report reevalex

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
@JoakimEdin
Joakim Edin JoakimEdin
I research explainable AI and automated medical coding.
@kev1092
kev1092
@the-full-stack
The Full Stack the-full-stack
News, community, and courses for people building AI-powered products.
@fchollet
François Chollet fchollet
@reevcrona
reevcrona
@rasbt
Sebastian Raschka rasbt
Machine Learning and AI researcher & currently research engineer at a startup

@Lightning-AI , University of Wisconsin-Madison Madison, WI

@eriklindernoren
Erik Linder-Norén eriklindernoren
ML engineer at Apple. Excited about machine learning, basketball and building things.

Stockholm, Sweden

@lucidrains
Phil Wang lucidrains
Working with Attention. It's all we need

San Francisco

@egorhowell
Egor Howell egorhowell
Data Scientist @Gousto

London, UK

@chiphuyen
Chip Huyen chiphuyen
Working on something new. AI x storytelling.

San Francisco

@daveebbelaar
Dave Ebbelaar daveebbelaar
AI Engineer & Founder of Datalumina

@datalumina Amsterdam

@jph00
Jeremy Howard jph00
CEO / R&D @ answer.ai; Founder fast.ai

@fastai Brisbane, Australia

@emilwallner
Emil Wallner emilwallner
internet-educated. into machine learning and colorization. maker of palette.fm. former resident at the google arts & culture lab.

Palette Paris | Nyköping

@OlgaChernytska
OlgaChernytska OlgaChernytska
Deep Learning Generalist

Kyiv, Ukraine

@geohot
George Hotz geohot
We will commoditize the petaflop.

@commaai @tinygrad San Diego, CA

@karpathy
Andrej karpathy
I like to train Deep Neural Nets on large datasets.

Stanford