Hamdaan Shaikh

[Hamdaan Shaikh @hamdaan_shaikh]

@jm_mightypirate @PoLDresden @zoccolermarcelo @stefanhahmann @TillKorten @helmholtz_en I wish you the best @TillKorten, @helmholtz_en is lucky to have you! I really enjoyed working with you, I learned a lot, Thank you!

[François Chollet @fchollet]

Big news: we just released Keras 3.0!

▶ Run Keras on top of JAX, TensorFlow, and PyTorch
▶ Train faster with XLA compilation
▶ Unlock training runs with any number of devices & hosts via the new Keras distribution API

It's live on PyPI now! 🚀

[Lior Alexander @LiorOnAI]

NVIDIA just made Pandas 150x faster with zero code changes.

All you have to do is:
%load_ext cudf.pandas
import pandas as pd

Their RAPIDS library will automatically know if you're running on GPU or CPU and speed up your processing.

You can try it here: https://t.co/Q7Z4QT0bjc

Repo: https://t.co/Fgu6xczCvT

[Hamdaan Shaikh @hamdaan_shaikh]

@condaproject @haesleinhuepf Wow, long awaited!

[conda @condaproject]

📣 The special Conda 23.10.0 release is here. #libmamba is now the default solver in the #conda package and environment manager. 💨💨 https://t.co/0oR1C82yOX

[ScaDS.AI Dresden/Leipzig @Sca_DS]

📍 Yesterday, @StadtLeipzig employees visited @Sca_DS for a #Python training. Because of the high demand at #DataWeekLeipzig this year, we decided to offer further trainings on #DataScience with a focus on distributed computing, #MachineLearning, #DataAnalysis, #Statistics, etc.

[Yann LeCun @ylecun]

A nice survey of end-to-end learning methods for autonomous driving.

[Peter Steinbach @psteinb_]

Happy to share our recent preprint:
https://t.co/5WRnCwDYi3
We study uncertainty quantifications of stardist instance predictions. Along the way we find: calibration is super important when dealing with uncertainty estimates!
Enjoy and share. #Thanks @martweig & @uschmidt83.

[Hamdaan Shaikh @hamdaan_shaikh]

#PoLBIAS23 coming to a close, what a wonderful week! Thank you @haesleinhuepf and all the organisers, trainers, speakers and hidden helpers!

[Martin Jones @martinjones78]

Uh-oh, @zoccolermarcelo only has about 4 or 5 metres left...

#PoLBIAS23

[Joanna Pylvänäinen @JwPylvanainen]

History of Eubias/Neubias Symposia and Training schools by @haesleinhuepf at #PoLBIAS23 . I attended at least 3, now 4th! How many did you attend?

[Physics of Life Dresden @PoLDresden]

#PyTorch is essencial in many data analysis and this is one of the topics on the second day of the Bio-image training school. We are deep learning it with @psteinb_ from @HZDR_Dresden and @helmholtz_ai 🤓👩‍💻🧑‍💻
#PoLBIAS2023

[Robert Haase @haesleinhuepf]

@psteinb_ @jm_mightypirate Thanks for joining us and thanks for sharing your materials #openaccess! 🔓😃

[Robert Haase @haesleinhuepf]

We're super happy to welcome @NJurenaite and @apurvkulkarni7 from @Sca_DS at #PoLBIAS23 introducing us to #HighPerformanceComputing in general and @zih_tud's cluster in particular 🔬🖥️🚀

[Robert Haase @haesleinhuepf]

Introduction to #GPUaccelerated #BioImageAnalysis using #clesperanto by @StRigaud / @institutpasteur 🔬🖥️🚀 #PoLBIAS23

[Stefan Hahmann @stefanhahmann]

@StRigaud introducing using GPU for Bio Image Analysis. #PoLBIAS23

[Stefan Hahmann @stefanhahmann]

PoL BioImage Anaysis Symposium 2023 starting with the Training Schools. Organiser @haesleinhuepf nicely introduces the participants into the week. #PoLBIAS23

[Martin Schätz @SchatzCz]

#PoLBIAS23 is starting! This will be a great week! 😁

[Hamdaan Shaikh @hamdaan_shaikh]

@haesleinhuepf @RoyalMicroSoc Congratulations Robert!