Review of materials on machine learning № 3 (April 16 - 23, 2018)

Good day! This is the third digest of machine learning and data analysis, which appeared after a long break.


Events of the week

one. Data science breakfast. April 25 from 9-30 to 12-00 in the cafe-bakery "Paradise Pie, pr-t. Mira, 26, p. 1, Moskva
2 5th DataFest . April 28th.
3 NeuroHive 2018 . Open source online hackathon for developers of neural networks.
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news

one. We burst into the year 2018 with another big release: the release of version 11.3 of the Wolfram Language and Mathematica .
2 TensorFlow 1.8.0-rc0 .
3 Weekly review of the HighScalability portal .
four. Passing cs231n together (in Russian) .

Scientific articles, practical implementations, datasets

one. Python module to easily generate text using a pretrained character-based recurrent neural network. .
2 The official cut taiga 2.0 .
3 Swift for TensorFlow simulation .
four. Text Classification with TensorFlow Estimators .
five. Convolutional Neural Networks for Relation Extraction
6 It's Training Cats and Dogs: NVIDIA Research and Catching Dogs, Lions and Tigers, Too .
7 Image segmentation tasks using Unet neural network .
eight. Hollywood stars .
9. Neural Style Transfer: A Review .
ten. Implementations of 15 NLP reports papers using Keras, Tensorflow, and Scikit Learn. .
eleven. The 2018 Stanford CS224n NLP course projects are now online. A lot of them are pretty impressive. .
12. Pre-trained weights in TensorFlow .
13. Representing Language with Recurrent and Convolutional Layers: An Authorship Attribution Example .
14. Data Science Bowl 2018. Orination of the winner’s decision .
15. Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking
sixteen. How to make the selection of signs and select hyperparameters with the help of testing statistical hypotheses .
17 TwinGAN - Cross-Domain Translation of Human Portraits .
18. Shared Autonomy via Deep Reinforcement Learning .
nineteen. Data Augmentation | How To Use Deep Learning When You Have Limited Data .
20. The fall of RNN / LSTM .
21. Another article about the recognition of workers without helmets neural networks .
22 Speed ​​up TensorFlow Inference on GPUs with TensorRT .
23. How Music Generated by Artificial Intelligence Is Reshaping - Not Destroying - The Industry .
24 Semantic Segmentation - U-Net (Part 1) .
25 Associative rules, or beer with diapers .
26 Understand how works Resnet ... without talking about residual .
27. SfSNet: Learning Shape, Reflectance and Illuminance of Faces 'in the wild' .
28 A List Of Top 10 Deep Learning Papers, The 2018 Edition .
29. Yann LeCun: Power and Limits of Deep Learning for Signal Understanding (ICASSP 2018 plenary) . Video.
thirty. Simple Tensorflow implementation of "Multimodal Unsupervised Image-to-Image Translation" .
31. SNcGAN - Generate Conditional Images .
32. Deploying Deep Learning Models on Kubernetes with GPUs .
33. We apply the Deep Watershed Transform in the Kaggle Data Science Bowl 2018 competition .
34 How to implement a YOLO (v3) object detector from PyTorch: Part 1 , Part 2 , Part 3 , Part 4 , Part 5 .
35 A Keras implementation of YOLOv3 (Tensorflow backend) inspired by allanzelener / YAD2K. .
36 Pytorch implementation of MaxPoolingLoss. .
37. An Introduction of Generative Adversarial Networks (GANs) .
38 Nice ideas about unit testing ML code .
39 What is asked for an AI interview at Apple? .
40 A collection of popular Data Science Competitions .
41 Monte-Carlo Search for Magic: The Gathering .
42 Dataset "Open semantics of the Russian language" .

Previous release: Overview of machine learning materials .