Machine Learning World
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Our fund instagram to help homeless animals: https://www.instagram.com/ukraineanimalhelp/

Contacts: @anikishaev | [email protected]
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As all you know our channel spend all money from avertisment on supporting homeless animals. Yesterday we start helping this cat https://www.facebook.com/anikishaev/posts/2331822493561951 (photo 18+)
He was injured quite badly, but after surgery he is doing ok. Question with money fully closed and only thing that we need is a new home and loving family for him.
So if any of u want to help and get new fluffy friend then write me on [email protected]
Also i'll be very gratefull for sharing this with your friends.
Machine Learning World pinned «As all you know our channel spend all money from avertisment on supporting homeless animals. Yesterday we start helping this cat https://www.facebook.com/anikishaev/posts/2331822493561951 (photo 18+) He was injured quite badly, but after surgery he is doing…»
Reimplemented HDRNet model aka Deep Bilateral Learning for Real-Time Image Enhancements in PyTorch
https://github.com/creotiv/hdrnet-pytorch

Now you dont need to fuck you brain off compiling cuda operations in TF, and on my machine it works even faster then original implementation
That's fucken awesome result of Video Style Transfer https://dcgi.fel.cvut.cz/home/sykorad/ebsynth.html
U-GAT-IT: new model for unpaired image-to-image translation. New SOTA in unsupervised image generation

https://arxiv.org/abs/1907.10830

https://github.com/taki0112/UGATIT
NeuPDE: Neural Network Based Ordinary and Partial Differential Equations for Modeling Time-Dependent Data

https://arxiv.org/pdf/1908.03190.pdf
JPEG Artifacts removal with Wavelet transforms
Very good result (from what i saw)
https://sci-hub.tw/10.1109/ICIEA.2006.257369
Hey guys we are on the way to building our first online course on Machin Learning and need you help to find out best fit with your interests.
Which course would you be interested in?
public poll

PyTorch Basics + CV (Object detection) – 181
👍👍👍👍👍👍👍 35%

PyTorch Basics + Audio (Shazam like app or Music Generation) – 150
👍👍👍👍👍👍 29%

DataScience Basics + Recommendation Systems – 117
👍👍👍👍👍 23%

DataScience Basics + Tabled data prediction – 47
👍👍 9%

PyTorch Basics + CV (Style Transfer) – 24
👍 5%

👥 519 people voted so far.