# Ukraine Only
Ребята в эту субботу 16го Марта в Киеве пройдет Data Science UA Conference. Это действо покруче всяких ММА поединков, потому как травмы после ММА проходят, а боль от МЛ остается с вами на всю жизнь)
Посему это крутая возможность заявить свои претензии на пояс чемпиона в среднем и тяжелом весе или же просто прийти посмотреть и поболеть за ребят)
Cо списокм докладов можно ознакомиться здесь: https://data-science.com.ua/ua/conferences/conference-6/
Приходите будет жарко)
Я тоже там буду, следуйте за парнем с ирокезом и в килте)
А вот что я делаю https://www.facebook.com/anikishaev/videos/2103942513016618/
Ребята в эту субботу 16го Марта в Киеве пройдет Data Science UA Conference. Это действо покруче всяких ММА поединков, потому как травмы после ММА проходят, а боль от МЛ остается с вами на всю жизнь)
Посему это крутая возможность заявить свои претензии на пояс чемпиона в среднем и тяжелом весе или же просто прийти посмотреть и поболеть за ребят)
Cо списокм докладов можно ознакомиться здесь: https://data-science.com.ua/ua/conferences/conference-6/
Приходите будет жарко)
Я тоже там буду, следуйте за парнем с ирокезом и в килте)
А вот что я делаю https://www.facebook.com/anikishaev/videos/2103942513016618/
New awesome tool from Intell to Accelerate Annotation of Digital Images and Video
http://bit.ly/2NZLVBo
http://bit.ly/2NZLVBo
Intel
New Computer Vision Tool Accelerates Annotation of Digital Images and Video
we are pleased to present a new open source program called Computer Vision Annotation Tool (CVAT, pronounced “si-vi-eɪ-ti”) that accelerates the process of annotating digital images and videos for use in training computer vision algorithms. In this post,…
Fast, small, runs on local device. New Google Speech recognition model
http://bit.ly/2JbrClG
http://bit.ly/2JbrClG
research.google
An All-Neural On-Device Speech Recognizer
Posted by Johan Schalkwyk, Google Fellow, Speech Team In 2012, speech recognition research showed significant accuracy improvements with deep learn...
Lifehack for object detection and tracking (humor)
https://i.redd.it/s8t9xeu53w901.gif
https://i.redd.it/s8t9xeu53w901.gif
Simple keras model inference optimizer https://github.com/ZFTurbo/Keras-inference-time-optimizer
GitHub
GitHub - ZFTurbo/Keras-inference-time-optimizer: Optimize layers structure of Keras model to reduce computation time
Optimize layers structure of Keras model to reduce computation time - GitHub - ZFTurbo/Keras-inference-time-optimizer: Optimize layers structure of Keras model to reduce computation time
Wrote some simple example of face detection and classification from 2 epochs of CV
https://github.com/creotiv/object_detection_projects/tree/master/face_detection_with_opencv_and_pyqt
https://github.com/creotiv/object_detection_projects/tree/master/face_detection_with_opencv_and_pyqt
GitHub
creotiv/object_detection_projects
My public projects about object detection algorithms - creotiv/object_detection_projects
Can character-level language models understand complex things?
https://www.lighttag.io/blog/character-level-NLP
https://www.lighttag.io/blog/character-level-NLP
www.lighttag.io
Character Level NLP
Character level models for NLP facilitate large vocabularies and remove computational bottlenecks during model training. This post reviews those traits and discusses the drawbacks of character level models for NLP.
Very good article to understand how improvements are made on hard CV tasks.
https://medium.com/mlreview/getting-inception-architectures-to-work-with-style-transfer-767d53475bf8
https://medium.com/mlreview/getting-inception-architectures-to-work-with-style-transfer-767d53475bf8
Medium
Getting Inception Architectures to Work with Style Transfer
Style transfer typically requires neural networks with a well-developed hierarchy of features for calculating the loss. Thus for this…
Two powerful papers from DeepMind team
https://arxiv.org/abs/1901.11390
https://arxiv.org/abs/1903.00450
https://arxiv.org/abs/1901.11390
https://arxiv.org/abs/1903.00450
arXiv.org
MONet: Unsupervised Scene Decomposition and Representation
The ability to decompose scenes in terms of abstract building blocks is crucial for general intelligence. Where those basic building blocks share meaningful properties, interactions and other...
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Unsupervised entities & background segmentation
Awesome research from Google RL team. Learning dynamics from video
https://planetrl.github.io
https://planetrl.github.io
PlaNet solves control tasks from pixels by planning in latent space.
Learning Latent Dynamics for Planning from Pixels
(Russian speaking)
Отличное обьяснение разных фишек с математики просто и доступно, без х****)
https://www.youtube.com/channel/UCi3lxprPEKGjpmzzN90sceA
Отличное обьяснение разных фишек с математики просто и доступно, без х****)
https://www.youtube.com/channel/UCi3lxprPEKGjpmzzN90sceA
YouTube
Sergej Kuts
Share your videos with friends, family, and the world
Hey guys, i've made small survey to better understand your needs. It will take just few minutes (10 questions). Thanks a lot :)
http://bit.ly/2YAwwwe
http://bit.ly/2YAwwwe
Google Docs
Small user survey
Just want to better understand my subscribers)