Machine Learning Top 10 Articles for the Past Month-v.Mar 2018
https://medium.mybridge.co/machine-learning-top-10-articles-for-the-past-month-v-mar-2018-a3473d6da21f
https://medium.mybridge.co/machine-learning-top-10-articles-for-the-past-month-v-mar-2018-a3473d6da21f
Medium
Machine Learning Top 10 Articles for the Past Month (v.Mar 2018)
For the past month, we ranked nearly 1,400 Machine Learning articles to pick the Top 10 stories.
PyTorch Implementation of "Session-based Recommendations with Recurrent Neural Networks(ICLR 2016)"
https://github.com/yhs-968/pyGRU4REC
https://github.com/yhs-968/pyGRU4REC
GitHub
yhs-968/pyGRU4REC
PyTorch Implementation of Session-based Recommendations with Recurrent Neural Networks(ICLR 2016, Hidasi et al.) - yhs-968/pyGRU4REC
Pytorch implementation of Dilated RNNs
https://github.com/zalandoresearch/pt-dilate-rnn
https://github.com/zalandoresearch/pt-dilate-rnn
GitHub
zalandoresearch/pt-dilate-rnn
pt-dilate-rnn - Dilated RNNs in pytorch
From Instacart: Lore, framework for configuring, building, deploying and maintaining deep learning models
https://tech.instacart.com/how-to-build-a-deep-learning-model-in-15-minutes-a3684c6f71e
https://tech.instacart.com/how-to-build-a-deep-learning-model-in-15-minutes-a3684c6f71e
Medium
How to build a deep learning model in 15 minutes
An open source framework for configuring, building, deploying and maintaining deep learning models in Python.
Тут разбирают по главам книгу Deep Learning
https://www.youtube.com/channel/UCF9O8Vj-FEbRDA5DcDGz-Pg/videos
https://www.youtube.com/channel/UCF9O8Vj-FEbRDA5DcDGz-Pg/videos
YouTube
Alena Kruchkova
Deep Learning Book Club
Pandas on Ray - Make Pandas faster by replacing one line of your code
https://rise.cs.berkeley.edu/blog/pandas-on-ray/
https://rise.cs.berkeley.edu/blog/pandas-on-ray/
RISE Lab
Pandas on Ray - RISE Lab
View the code on Gist.
Blog post on GANs as defenses for adversarial examples
http://approximatelycorrect.com/2018/03/02/defending-adversarial-examples-using-gans/
http://approximatelycorrect.com/2018/03/02/defending-adversarial-examples-using-gans/
Approximatelycorrect
Leveraging GANs to combat adversarial examples
In 2014, Szegedy et al. published an ICLR paper with a surprising discovery: modern deep neural
Pytorch Implementation of i-RevNet: Deep Invertible Networks (ICLR18)
https://github.com/jhjacobsen/pytorch-i-revnet
https://github.com/jhjacobsen/pytorch-i-revnet
GitHub
GitHub - jhjacobsen/pytorch-i-revnet: i-RevNet Pytorch Code
i-RevNet Pytorch Code. Contribute to jhjacobsen/pytorch-i-revnet development by creating an account on GitHub.
Real Time Trigger Word Detection with Keras
https://hackernoon.com/how-to-do-real-time-trigger-word-detection-with-keras-b8a56ab106b7
https://hackernoon.com/how-to-do-real-time-trigger-word-detection-with-keras-b8a56ab106b7
Hacker Noon
How to do Real Time Trigger Word Detection with Keras
I just finished the Coursera deep learning online program this week. The last programming assignment is about trigger word detection, aka…
Emotion AI и эмоциональные технологии: конференция Neurodata Lab и НИУ ИТМО
https://habrahabr.ru/company/neurodatalab/blog/350478/
https://habrahabr.ru/company/neurodatalab/blog/350478/
habrahabr.ru
Emotion AI и эмоциональные технологии: конференция Neurodata Lab и НИУ ИТМО
30 марта 2018 г. Neurodata Lab LLC и НИУ ИТМО проводят однодневную конференцию в Санкт-Петербурге (мероприятие в Москве также запланировано на ближайшее...
Implementation of AlphaZero for Gomoku (TensorFlow, Pytorch and Theano)
https://github.com/junxiaosong/AlphaZero_Gomoku
https://github.com/junxiaosong/AlphaZero_Gomoku
GitHub
GitHub - junxiaosong/AlphaZero_Gomoku: An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a…
An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row) - GitHub - junxiaosong/AlphaZero_Gomoku: An implementation of the AlphaZero algorithm for Gomoku (also...
Tensor Comprehensions in PyTorch
http://pytorch.org/2018/03/05/tensor-comprehensions.html
http://pytorch.org/2018/03/05/tensor-comprehensions.html
Новое на Distill: The Building Blocks of Interpretability
https://distill.pub/2018/building-blocks/
https://distill.pub/2018/building-blocks/
Distill
The Building Blocks of Interpretability
Interpretability techniques are normally studied in isolation. We explore the powerful interfaces that arise when you combine them -- and the rich structure of this combinatorial space.
A collection of research directions around transfer learning and NLP
http://ruder.io/requests-for-research/
http://ruder.io/requests-for-research/
ruder.io
Requests for Research
It can be hard to find compelling topics to work on and know what questions to ask when you are just starting as a researcher. This post aims to provide inspiration and ideas for research directions to junior researchers and those trying to get into research.
Щи или распознавание 330 млн лиц на скорости 400 фото / сек
https://habrahabr.ru/company/odnoklassniki/blog/350566/
https://habrahabr.ru/company/odnoklassniki/blog/350566/
Habr
Щи, или Распознавание 330 млн лиц на скорости 400 фото / сек
Распознаванием лиц в 2018 году никого не удивишь – каждый студент, может, даже школьник, его делал. Но всё становится немного сложнее, когда у вас не датасет на 1 млн пользователей, а:
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