Playing with applied Machine Learning - building amazing things for better future. Machine Learning Community in Munich. Tweets by @lc0d3r
Munich, Bavaria
Joined February 2017
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And the slides together with youtube video are online - github.com/ai-hack/meetup-sl… #datascience #debtcollection #DataScientist
Just in a week we are hosting our next event with Igor, who is going to tell us how to apply Data Science to debt collection - join us online at meetup.com/Hacking-Machine-L… #MachineLearning #DataScience
Hacking ML retweeted
Interesting examples of how to bring your models to the world from training to production
Cool Google Cloud AI projects/demos and code repositories by the ML GDEs across the globe including @vykthur @helmetti @RisingSayak @algo_diver and Srivatsan!
@kazunori_279 @kweinmeister and I had a great pleasure in working with all of them.
cloud.google.com/blog/topics…
Great things done for African languages! Thanks for doing this great job! and I think it's @alienelf on screenshot :)
Next ones we have awesome @bonadossou
and @ChrisEmezue from @MasakhaneNLP talking how to bring NLP advances for African languages
Hacking ML retweeted
Super excited to be hosting the next edition of @hack_ai with @Pratik0895 from @facebookai talking about GrokNet and @bonadossou and @ChrisEmezue from @MasakhaneNLP talking about advances in NLP for African languages - Join us on meetup - meetup.com/Hacking-Machine-L… or youtube
Hacking ML retweeted
It's live now and you can even win a book by @petewarden 🙈 #TFEverywhere
Super excited to be hosting #TFEverywhere 2021. This time we have a joint event between Copenhagen, Krakow and Munich. Join us later to hear talks on
@TensorFlow at youtube.com/watch?v=rZRxcNoi… cc @TensorFlo
In a few hours we are going to premier a video on JAX, Trax and why it's helpful to use these frameworks to train German TTS model - Speech Processing with Deep Learning and JAX/Trax - youtube.com/watch?v=00qwLpXX… by @GoogleDevExpert M. Yusuf Sarıgöz
Hacking ML retweeted
computational photography makes so much progress these days. It's also pretty awesome, that @GoogleAI shares such articles on how such features are implemented
Today we present the technology behind the new Cinematic photos feature in Google Photos, where #MachineLearning is used to add simulated camera motion and parallax to a single-frame still photo, transforming a 2D photo into a more immersive 3D scene. goo.gle/3aKeRKr
Super excited to be hosting the next version of our event. One the talks would be on Speech processing with JAX and Trax using @nvidia's Tacotron2 and
MelGAN
Hacking ML retweeted
Pretty extensive example with a dual encoder, custom loss and GradientTape; with #TFhub-based BERT and preprocessing for it
New code walkthrough on keras.io: image search with natural language queries using a dual-encoder approach. The idea is to learn a joint embedding space for images and associated captions (inspired by OpenAI CLIP).
keras.io/examples/nlp/nl_ima…
