Good course from Stanford "Human behavior biology"
https://tjournal.ru/science/84155-vse-25-lekciy-stenfordskogo-kursa-professora-roberta-sapolski-biologiya-povedeniya-cheloveka (russian)
https://tjournal.ru/science/84155-vse-25-lekciy-stenfordskogo-kursa-professora-roberta-sapolski-biologiya-povedeniya-cheloveka (russian)
TJ
Все 25 лекций Стэнфордского курса профессора Роберта Сапольски «Биология поведения человека» — Наука на TJ
Сексуальное поведение, генетика, шизофрения и многое другое в 25 лекциях курса профессора Роберта Сапольски «Биология поведения человека» на русском языке!
Good Kaggle competition that i recommend for everyone https://www.kaggle.com/c/dont-overfit-ii/data
Kaggle
Don't Overfit! II
A Fistful of Samples
Interesting paper for game developers. it can be used to bug fix games just by watching user gameplay, or for example make them harder/simpler without breaking balance.
https://www.cc.gatech.edu/~riedl/pubs/ijcai17.pdf
https://www.cc.gatech.edu/~riedl/pubs/ijcai17.pdf
ML helping not only with sales or finding cats/cars, it also useful in other areas of science
https://phys.org/news/2019-02-machine-reveals-hidden-turtle-pattern.html
https://phys.org/news/2019-02-machine-reveals-hidden-turtle-pattern.html
phys.org
Machine learning reveals hidden turtle pattern in quantum fireworks
Two years ago, physicists at the University of Chicago were greeted with fireworks—atoms shooting out in jets—when they discovered a new form of quantum behavior. But the patterns underlying the bright ...
Guys from IBM just showed their new creation - Project Debater. The AI system that can debate with humans in realtime, with using global information and based on facts and principles that it learned. Its really big step in the way of fully autonomous systems.
https://youtu.be/m3u-1yttrVw
https://youtu.be/m3u-1yttrVw
YouTube
LIVE DEBATE – IBM Project Debater
At Intelligence Squared U.S., we’ve debated AI before – the risks, the rewards, and whether it can change the world – but for the first time, we’re debating with AI.
In partnership with IBM, Intelligence Squared U.S. is hosting a unique debate between a…
In partnership with IBM, Intelligence Squared U.S. is hosting a unique debate between a…
Fresh topic about language modeling from OpenAI, that you should read.
https://blog.openai.com/better-language-models
https://blog.openai.com/better-language-models
Another good thing that you should read - BERT
https://github.com/google-research/bert
https://github.com/google-research/bert
GitHub
GitHub - google-research/bert: TensorFlow code and pre-trained models for BERT
TensorFlow code and pre-trained models for BERT. Contribute to google-research/bert development by creating an account on GitHub.
Old thing but still valuable - Multi-Head Attention http://mlexplained.com/2017/12/29/attention-is-all-you-need-explained/
How to understand rats language
https://www.youtube.com/watch?v=25LYVxTUZhM
https://www.youtube.com/watch?v=25LYVxTUZhM
YouTube
This algorithm decodes rat squeaks and could revolutionize animal research
Rats are social and chatty critters, but most of their chatter is above the frequency that human ears can hear. If researchers could listen to what rats are “saying,” it could change countless experiments. This week, we try our hand at recording ultrasonic…
Interesting paper on tone mapping, decolorization and downscaling. thanks 2minutespapers to came out with it.
https://arxiv.org/abs/1707.09482
https://arxiv.org/abs/1707.09482
arXiv.org
Deep Feature Consistent Deep Image Transformations: Downscaling,...
Building on crucial insights into the determining factors of the visual
integrity of an image and the property of deep convolutional neural network
(CNN), we have developed the Deep Feature...
integrity of an image and the property of deep convolutional neural network
(CNN), we have developed the Deep Feature...
Nice project about GAN-painting https://github.com/JoYoungjoo/SC-FEGAN
GitHub
GitHub - run-youngjoo/SC-FEGAN: SC-FEGAN : Face Editing Generative Adversarial Network with User's Sketch and Color (ICCV2019)
SC-FEGAN : Face Editing Generative Adversarial Network with User's Sketch and Color (ICCV2019) - GitHub - run-youngjoo/SC-FEGAN: SC-FEGAN : Face Editing Generative Adversarial Network with ...
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