IBM Watson Studio giveaway for students(if someone use it)
https://medium.com/ibm-watson/watson-studio-desktop-is-now-free-for-academia-f8b50a118370
https://medium.com/ibm-watson/watson-studio-desktop-is-now-free-for-academia-f8b50a118370
Medium
Watson Studio Desktop is now free for academia
Machine Learning, Data Science, and Predictive Analytics techniques are in strong demand. That’s why since its launch, IBM Watson Studio…
Google opensourced their lib GPipe for training really big networks on many machines
https://ai.googleblog.com/2019/03/introducing-gpipe-open-source-library.html?m=1
https://ai.googleblog.com/2019/03/introducing-gpipe-open-source-library.html?m=1
research.google
Introducing GPipe, an Open Source Library for Efficiently Training Large-scale N
Posted by Yanping Huang, Software Engineer, Google AI Deep neural networks (DNNs) have advanced many machine learning tasks, including speech rec...
Good course for those who wants to learn programming for CUDA
https://developer.nvidia.com/udacity-cs344-intro-parallel-programming?fbclid=IwAR0eN3mzmHiBm2FnuyvwKEiTUfJYAdySxR2eVuH9TJfSq4HhjM-9iaAeSIw
https://developer.nvidia.com/udacity-cs344-intro-parallel-programming?fbclid=IwAR0eN3mzmHiBm2FnuyvwKEiTUfJYAdySxR2eVuH9TJfSq4HhjM-9iaAeSIw
NVIDIA Developer
Udacity CS344: Intro to Parallel Programming
What: Intro to Parallel Programming is a free online course created by NVIDIA and Udacity. In this class you will learn the fundamentals of parallel computing using the CUDA parallel computing platform and programming model.
Google as always not doing any marketing on their new services) But we know where to search. Good library of different tutorials based on Google Colab, just click run and you got it.
https://research.google.com/seedbank/seeds
https://research.google.com/seedbank/seeds
Interesting tutorial on solving recurrent tasks with replacing RNN by Ordinary Differential Equations
https://nbviewer.jupyter.org/github/urtrial/neural_ode/blob/master/Neural%20ODEs.ipynb
https://nbviewer.jupyter.org/github/urtrial/neural_ode/blob/master/Neural%20ODEs.ipynb
nbviewer.org
Notebook on nbviewer
Check out this Jupyter notebook!
TensorFlow Dev Talks Summit 2019
https://www.youtube.com/playlist?list=PLQY2H8rRoyvzoUYI26kHmKSJBedn3SQuB
https://www.youtube.com/playlist?list=PLQY2H8rRoyvzoUYI26kHmKSJBedn3SQuB
# 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
https://bit.ly/2NZLVBo
https://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
https://bit.ly/2JbrClG
https://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