ββReproducing high-quality singing voice
with state-of-the-art AI technology.
Some advance in singing voice synthesis. This opens path toward more interesting collaborations and sythetic celebrities projects.
P.S. Hatsune Miku's will still remain popular for their particular qualities, but now there is more room for competitors.
Link: https://www.techno-speech.com/news-20181214a-en
#SOTA #Voice #Synthesis
with state-of-the-art AI technology.
Some advance in singing voice synthesis. This opens path toward more interesting collaborations and sythetic celebrities projects.
P.S. Hatsune Miku's will still remain popular for their particular qualities, but now there is more room for competitors.
Link: https://www.techno-speech.com/news-20181214a-en
#SOTA #Voice #Synthesis
Deep learning cheatsheets, covering content of Stanfordβs CS 230 class.
CNN: https://stanford.edu/~shervine/teaching/cs-230/cheatsheet-convolutional-neural-networks
RNN: https://stanford.edu/~shervine/teaching/cs-230/cheatsheet-recurrent-neural-networks
TipsAndTricks: https://stanford.edu/~shervine/teaching/cs-230/cheatsheet-deep-learning-tips-and-tricks
#cheatsheet #Stanford #dl #cnn #rnn #tipsntricks
CNN: https://stanford.edu/~shervine/teaching/cs-230/cheatsheet-convolutional-neural-networks
RNN: https://stanford.edu/~shervine/teaching/cs-230/cheatsheet-recurrent-neural-networks
TipsAndTricks: https://stanford.edu/~shervine/teaching/cs-230/cheatsheet-deep-learning-tips-and-tricks
#cheatsheet #Stanford #dl #cnn #rnn #tipsntricks
stanford.edu
CS 230 - Convolutional Neural Networks Cheatsheet
Teaching page of Shervine Amidi, Graduate Student at Stanford University.
ββOverview of current state of autonomously driving vehicle by Ben Evans.
Not so technical overview of where first autonomous vehicles will become commodity.
Link: https://www.ben-evans.com/benedictevans/2018/3/26/steps-to-autonomy
Not so technical overview of where first autonomous vehicles will become commodity.
Link: https://www.ben-evans.com/benedictevans/2018/3/26/steps-to-autonomy
ββCreating super slow motion videos by predicting missing frames using a neural network, instead of simple interpolation. With code.
Github: https://github.com/avinashpaliwal/Super-SloMo
Website: https://people.cs.umass.edu/~hzjiang/projects/superslomo/
Github: https://github.com/avinashpaliwal/Super-SloMo
Website: https://people.cs.umass.edu/~hzjiang/projects/superslomo/
ππGeoff Hinton was named Companion of the Order of Canada (highest Canadian honor).
Hinton β one of the pioneers of the Deep Leaning, author of the famous Β«Neural NetworksΒ» on Coursera, one of the creators of the modern ML industry.
Congratulations!
https://www.gg.ca/en/media/news/2018/governor-general-announces-103-new-appointments-order-canada
Hinton β one of the pioneers of the Deep Leaning, author of the famous Β«Neural NetworksΒ» on Coursera, one of the creators of the modern ML industry.
Congratulations!
https://www.gg.ca/en/media/news/2018/governor-general-announces-103-new-appointments-order-canada
The Governor General of Canada
Governor General Announces 103 New Appointments to the Order of Canada
OTTAWAβHer Excellency the Right Honourable Julie Payette, Governor General of Canada, today announced 103 new appointments to the Order of Canada. The new member list includes 2 Companions (C.C.), 15
ββMassively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
New SOTA on cross-lingual transfer (XNLI, MLDoc) and bitext mining (BUCC) using a shared encoder for 93 languages.
Link: https://arxiv.org/abs/1812.10464
#SOTA #NLP
New SOTA on cross-lingual transfer (XNLI, MLDoc) and bitext mining (BUCC) using a shared encoder for 93 languages.
Link: https://arxiv.org/abs/1812.10464
#SOTA #NLP
ββBuilding Automated Feature Rollouts on Robust Regression Analysis
Nice article on important thing β statistical analysis of hypothesis testing. Every new feature or change made to existent one is basically an experiment. Article covers how #Uber team handles this in live system.
Link: https://eng.uber.com/autonomous-rollouts-regression-analysis/
#Uber #statistics #production #truestory
Nice article on important thing β statistical analysis of hypothesis testing. Every new feature or change made to existent one is basically an experiment. Article covers how #Uber team handles this in live system.
Link: https://eng.uber.com/autonomous-rollouts-regression-analysis/
#Uber #statistics #production #truestory
Battling Entropy: Making Order of the Chaos in Our Lives
Article on #entropy as a concept.
Link: https://fs.blog/2018/11/entropy/
Article on #entropy as a concept.
Link: https://fs.blog/2018/11/entropy/
Farnam Street
Entropy: The Hidden Force That Complicates Life
This article will help you learn how Entropy, the second law of thermodynamics, makes life increasingly more complicated. Understanding entroy will supercharge how and where you apply your energy.
A disciplined approach to neural network hyper-parameters
Recommendations on how to optimize learning rate, weight decay, momentum and batch size.
ArXiV: https://arxiv.org/pdf/1803.09820.pdf
#nn #hyperopt
Recommendations on how to optimize learning rate, weight decay, momentum and batch size.
ArXiV: https://arxiv.org/pdf/1803.09820.pdf
#nn #hyperopt
Top 10 IPython Notebook Tutorials for Data Science and Machine Learning
List mostly for beginners.
Link: https://www.kdnuggets.com/2016/04/top-10-ipython-nb-tutorials.html
#novice #beginner #ipython #jupyter
List mostly for beginners.
Link: https://www.kdnuggets.com/2016/04/top-10-ipython-nb-tutorials.html
#novice #beginner #ipython #jupyter
Tomorrow (05 Jan) we are holding first offline meeting for this channel members and all the Data Scientists in Paris.
You are kindly welcome to come by Malongo cafΓ© at 10:00 to chat, share experience and have a coffee with fellow data scientist if you are in Paris these days.
You are kindly welcome to come by Malongo cafΓ© at 10:00 to chat, share experience and have a coffee with fellow data scientist if you are in Paris these days.
A Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using 18F-FDG PET of the Brain
Computer Vision can detect Alzheimerβs Disease in brain scans SIX YEARS before a diagnosis. Uses PET scans, which are common & cheaper. 82% specificity at 100% sensitivity. Can pick out signs hard to see with the naked eye.
Link: https://pubs.rsna.org/doi/10.1148/radiol.2018180958
#CV #DL #Alzheimer #medical
Computer Vision can detect Alzheimerβs Disease in brain scans SIX YEARS before a diagnosis. Uses PET scans, which are common & cheaper. 82% specificity at 100% sensitivity. Can pick out signs hard to see with the naked eye.
Link: https://pubs.rsna.org/doi/10.1148/radiol.2018180958
#CV #DL #Alzheimer #medical
ββAutomatically Generating Comments for Arbitrary Source Code
Automatically generating code comments directly from source code using an LSTM. Works with multiple languages. Canβt wait to JetBrains discovering it.
Link: https://www.twosixlabs.com/automatically-generating-comments-for-arbitrary-source-code/
#NLP #CS #coding #LSTM
Automatically generating code comments directly from source code using an LSTM. Works with multiple languages. Canβt wait to JetBrains discovering it.
Link: https://www.twosixlabs.com/automatically-generating-comments-for-arbitrary-source-code/
#NLP #CS #coding #LSTM
