I am very happy to share this achievement:
Our paper "DeepFilter: An ECG baseline wander removal filter using deep learning techniques" got accepted at Biomedical Signal Processing and Control Elsevier Journal
https://t.co/SqhhjcOtNt
#DeepLearning#Biomedical#ECG
Really interesting discussions today at the ICML 2021 UDL workshop. Here you are our poster for L2M, a practical posterior approximation that reuses optimizers buffers. Work together with @rsilveira79 and @tsp_thomas.
📰 Paper: https://t.co/hXvyYeBu5D
🧑💻 Repository: coming soon
Just released Episuite v0.3.0 🎉
What's new ?
➡️ Google Global Mobility reports support;
➡️ Bayesian prevalence modelling (true/apparent prevalence) using Numpyro + Jax;
➡️ New tutorial (https://t.co/GWtDHg8TPZ)
📚 Docs: https://t.co/osilJQuXsQ
⭐️ Repo: https://t.co/Q2z77eB4hU
PyTorch 1.8 is here!
Highlights include updates for compiler, code optimization, frontend APIs for scientific computing, large scale training for pipeline and model parallelism, and Mobile tutorials.
Blog👇https://t.co/AssGYBfWKi
Introducing NFNets, a family of image classification models that are:
*SOTA on ImageNet (86.5% top-1 w/o extra data)
*Up to 8.7x faster to train than EfficientNets to a given accuracy
*Normalizer-free (no BatchNorm!)
Paper: https://t.co/xvYDkgDCY0
Code: https://t.co/SmKU0gNCy7
What did we learn from 5 years of robotic deep RL? My colleagues at Google and I tried to distill our experience into a review-style journal paper, covering some of the practical aspects of real-world robotic deep RL:
https://t.co/fYGQfFYlKu
🧵->
One of the reasons I'm leaving research after my PhD is because I had a past mentor early in grad school who treated me with complete unprofessionalism but got no consequence because they were protected by research prestige.
Toxic work culture pushes people out of academia. 1/
I am happy to share our most recent work "DeepFilter: an ECG baseline wander removal filter using deep learning techniques"
https://t.co/pavVGkZDn8
Also with Github code available
https://t.co/PNkUJwNnUm
Pictures of the French president, in front of a huge @scikit_learn logo, while I am displaying a presentation with @libreoffice , using a Linux laptop with #Python stickers.
Open source that powers our world needs to be visible to decision makers.
Video: https://t.co/zrk6wHnCfQ
I spent many long nights preparing this material for a visual introduction to optimization in Deep Learning, ranging from 1st-order methods, 2nd-order and Natural Gradient (and approximations of it such as K-FAC). Sharing the PDF (easier to download): https://t.co/pGP3mLNElt
I'll be giving the talk "Digital image processing using OpenCV and Python" including a quick overview and face detection example. It will be hosted online (in Spanish) at the Holguin Python Pizza event @pythonpizzaconf
https://t.co/9fs4Sp8Vjb
Dos semanas para la mezcla perfecta de 🐍 con 🍕 con #Holguín 🇨🇺, ¡y el programa ya está aquí!
⭐ 3 keynotes
🎙️ 20 charlas
⛱️ 2 recesos
🍕 30 minutos "oficiales" para comer pizza
Desde las 9am hasta las 4pm del 14 de noviembre de 2020
https://t.co/O4rkKocD2T
I am pleased to share our most recent Deep Learning paper accepted on MEDIA Journal.
I hope you like it! ☺️
#deeplearning#motionprediction#radiotherapy
https://t.co/icHTClVjdu
Oye se escaparon con la aplicacion. Desde el diseño hasta la funcionalidades. Exelente trabajo muchachos, felicitaciones a los envueltos en @cubaweatherapp