Prototype to production ML in days? Well apparently, you might do that with a new open source ML framework that generates dynamic nested graphs of ML pipeline steps (as Python functions). Sematic enables you to quickly prototype and productise complex ML pipelines with minimalistic Python APIs. It also brings Jupyter Notebooks to the actual ML pipeline.
If you’ve haven’t succumbed to the DALL-E generative AI craze yet, you can still generate some pretty cool generative art with good old R and ggplot.
This is awesome. Watch the Apollo 11 mission in real-time. Absolutely everything: mission control audio, onboard computer logs, onboard film and TV recordings, photos… in real-time.
I’m a bit overwhelmed by Steve Wolfram’s obsession with multicomputation and what he calls The 4th Paradigm for Theoretical Science. This is a long read Games and Puzzles as Multicomputational Systems
10 Link-o-Troned
A Pythonista *Experience*
beCause of Dennis & Bjarne
Scripting aRt
Love from Julia
(Paren(th)ethical)
ScalaTOR
data v-i-s-i-o-n-s
Distributed de-Entangler
Forschung!
Algorithmic Potpourri
Robots & Cyborgs like <you>
Deep & Other Learning Bits
startups -> radar
ML Datasets & Stuff
Postscript, etc
Tips? Suggestions? Feedback? email Carlos
Curated by @ds_ldn in the middle of the night.