Preatty good lecture about recommendation systems https://www.youtube.com/watch?v=P1tJuzthqPA

New cool lib for dimension reduction. Better then largeVis
https://github.com/lmcinnes/umap

Libs that will help if you are working with sentence embedding
https://github.com/facebookresearch/InferSent
https://github.com/facebookresearch/SentEval

Updated SSD with higher accuracy in small object detection https://arxiv.org/abs/1711.07767

Very hot article about deep video fakes
https://web.stanford.edu/~zollhoef/papers/SG2018_DeepVideo/page.html

This library will make you video loading faster as never before)
https://github.com/NVIDIA/nvvl

Interesting way of training GANS. Increasing image resolution with adding new layers.
https://github.com/tkarras/progressive_growing_of_gans

Implementation of some papers from different ML areas
https://github.com/GauravBh1010tt/DeepLearn

Strange to see this in Microsoft repo, but really usefull thing for crossframework model convertion https://github.com/Microsoft/MMdnn?utm_source=mybridge&utm_medium=blog&utm_campaign=read_more

Прямо сейчас ребята рассказывают как заняли призовые места на Kaggle по Fraud detection and Nucleos detection
https://www.facebook.com/1616285355341854/videos/1839957856307935

List of models additionaly added to keras https://github.com/keras-team/keras-applications

New paper from Facebook Research team on human movement modeling with RL
https://github.com/facebookresearch/QuaterNet

Found interesting course about RL, with tons of practical examples https://simoninithomas.github.io/Deep_reinforcement_learning_Course/

Great news for those who likes Summer, Sea, and Data Science - Data Summer Conf 2018 starting on July 21.
2 streams: BigData and DataScience

Speakers from the world's biggest companies: AWS, Spotify, GridGain Systems, Google Developers
Giuseppe Angelo Porcelli, Solutions Architect at Amazon Web Services.
- Jonathan Taws, Data Scientist at Amazon Web Services;
- Sri Sri Perangur, Senior Data Scientists at Spotify
- Javier Rodriguez Zaurin, Head of Data Science at Simply Business;
- Akmal Chaudhri, Lead Technical Evangelist at GridGain Systems;
- Jacek Laskowski, Spark & Kafka Developer and Technical Instructor at Kafka Streams Consultant;
- Fedor Navruzov, Senior Data Scientist at SWAG Speak With A Geek;
- Giorgi Jvaridze, Software Engineer at Data Science Stream;
- Roman Strochak, Computer vision CTO at Data AI;
- Rudradeb Mitra, Product Mentor at Google Developers;
- Dmitry Korobchenko, Deep Learning R&D Engineer at NVIDIA.

Tickets: https://provectus.com/datasummer/#tickets
Promocode for 10% off - MLWorldDataFriends

Interesting article about Google Transformer for automatic language translation, not very https://ai.googleblog.com/2017/08/transformer-novel-neural-network.html

Interactive segmentation http://www.vision.ee.ethz.ch/~cvlsegmentation/dextr/

Domain Adaptation with Dirt-T https://github.com/RuiShu/dirt-t

Models Zoo for finding what you need faster https://modelzoo.co/

Humans pose detection using radio wave signals http://rfpose.csail.mit.edu/

Good NLP Course from Andrew NG https://www.coursera.org/learn/nlp-sequence-models#syllabus