ArtificialIntelligenceArticles
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for who have a passion for -
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3. Deep Learning
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50 تا از بهترین دیتاست برای یادگیری ماشین
The 50 Best Free Datasets for Machine Learning
https://gengo.ai/articles/the-50-best-free-datasets-for-machine-learning/ @ArtificialIntelligenceArticles
Cool, creative and aesthetic: deep learning #AI to advance neuroscience by automating the reconstruction of neural circuits from microscopy images https://goo.gl/seMMLA
Tutorial on few-shot learning with meta-learning by Hugo Larochelle

Slides :
https://www.dropbox.com/s/sm68skkkbxbob0i/metalearning.pdf @ArtificialIntelligenceArticles
Bloomberg launches “ Foundations of #MachineLearning ” course for those with strong math backgrounds https://goo.gl/Ln1cd5 @ArtificialIntelligenceArticles
AutoGraph converts Python into TensorFlow graphs from arbitrary Python

Another step towards AI eating the software stack.

By Alex Wiltschko, Dan Moldovan, Wolff Dobson


https://medium.com/tensorflow/autograph-converts-python-into-tensorflow-graphs-b2a871f87ec7

@ArtificialIntelligenceArticles
TensorFlow.js gallery of projects, tutorials, videos, and more! https://goo.gl/tVagyW @ArtificialIntelligenceArticles
Cirq : an open source framework for developing algorithms on noisy intermediate scale quantum (NISQ) computers.

Check out the GitHub repository : https://goo.gl/otb99A @ArtificialIntelligenceArticle
Nice review on Machine Learning approaches for data integration in biology and medicine paper : https://arxiv.org/abs/1807.00123 @ArtificialIntelligenceArticles
ICML 2018 notes

By Yaroslav Bulatov : https://goo.gl/VwKoDo @ArtificialIntelligenceArticles
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Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions https://goo.gl/KQAFqT @ArtificialIntelligenceArticles
Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search

paper : https://arxiv.org/abs/1807.06906 @ArtificialIntelligenceArticles
NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.” https://nlpprogress.com/