Preatty good presentation for how to use redis for implementing recommendation system in a product
https://www.youtube.com/watch?v=_Aniee-XpSQ

Fashion clothes detection & Captcha recognition.
Online stream from RailsReactor event.
https://www.facebook.com/RailsReactor/videos/1882173635419690/

Very important paper for all who works with GANs and not only
https://ajolicoeur.wordpress.com/relativisticgan/

Best of CVPR2018. Pretrained models for 26 CV tasks http://taskonomy.stanford.edu

New paper from DeepMind AI to learn classical music from raw data https://arxiv.org/abs/1806.10474

New paper about making cartoons. It can be also used for texture style transfer.
“Reproducing Japanese Anime Styles With CartoonGAN AI” @Synced_Global https://medium.com/syncedreview/reproducing-japanese-anime-styles-with-cartoongan-ai-cf30d583736e

Maybe a start of something interest, right now more looks like a pet project)
https://towardsdatascience.com/autokeras-the-killer-of-googles-automl-9e84c552a319

TSNE Cuda !!! Now 1200x faster https://github.com/CannyLab/tsne-cuda

Interesting articles & code about NLP from Harvard
http://nlp.seas.harvard.edu/code/

Training RL models without reward set https://pathak22.github.io/large-scale-curiosity/

Very nice article from our friend about Neural Machine Translation With PyTorch

https://tsdaemon.github.io/2018/07/08/nmt-with-pytorch-encoder-decoder.html#fnref:reshape

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Our team got two new members Oles Petriv & Anatolii Stehnii.
They will be also sharing their ideas, experience and articles that they read.
More people, more quality content))

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Many different tutorials about Machine Learning https://medium.com/machine-learning-in-practice/over-150-of-the-best-machine-learning-nlp-and-python-tutorials-ive-found-ffce2939bd78

Very awesome paper from MIT about segmentation. They do it almost ideal http://cfg.mit.edu/sites/cfg.mit.edu/files/sss_3.pdf

New TPU(they named it DPU) vendor is comming up, and right now you can apply for early access program, to test their solution.
You can register here https://wavecomp.ai/

Today we built a list of cool Popular Science YouTube channels, it's more addictive than Game of Thrones :)
https://medium.com/@a.nikishaev/best-popular-science-youtube-channels-767a73add30a

Good article about how Mask RCNN works https://engineering.matterport.com/splash-of-color-instance-segmentation-with-mask-r-cnn-and-tensorflow-7c761e238b46

Good resource for interesting projects in ML http://www.creativeai.net/

Google created new web markup for datasets discovery.
Searching available here
https://toolbox.google.com/datasetsearch

On 6 of October in Kiev will take place an interesting Computer Vision Conference https://www.facebook.com/events/1690893937643933/

- 6 speakers:
- Pedro Porto Buarque de Gusmão - Postdoctoral Researcher, Department of Computer Science, University of Oxford, United Kingdom
- Eugene Khvedchenia - Computer Vision Consultant, CloudCV
- Bohdan Zhurakovskyi - Machine Learning Engineer at BetConstruct
- Sergiy Koshel- Lead Data Scientist at Infopulse
- Kyryl Truskovskyi - Lead Researcher, Neuromation
- Raid Arfua - Machine Learning Engineer at BetConstruct

- Lunch included. Afterparty with beer and good people is waiting for you!

- 2 workshops - For the workshops you only need to bring your laptop. Computational resources will be provided.

Also you can save 20% with using promo code: AndreyNikishaevFriends
Tickets: https://www.aibooster.com.ua/cv2018/

See you there )