Plain python implementations of basic machine learning algorithms
https://github.com/zotroneneis/machine_learning_basics

Made a graph of nearest neighbors from word2vec embeddings. What do you think?
https://github.com/anvaka/word2vec-graph

Transfer Your Font Style with GANs
http://bair.berkeley.edu/blog/2018/03/13/mcgan/

PyTorch Implementation of the "Magnet Loss": Metric Learning with Adaptive Density Discrimination from Facebook AI Research
https://github.com/vithursant/MagnetLoss-PyTorch

Implementation of "Independently Recurrent Neural Network (IndRNN)" in TensorFlow
https://github.com/batzner/indrnn

Pytorch implementation for Snapshot Ensemble with SGDR
http://jsideas.net/python/2018/03/14/snapshot_ensemble.html

Pytorch implementations of deep person re-identification models (pre-trained models available)
https://github.com/KaiyangZhou/deep-person-reid

livelossplot - Live training loss plot in Jupyter Notebook for Keras, PyTorch and others
https://github.com/stared/livelossplot

GAN with Keras: Application to Image Deblurring
https://blog.sicara.com/keras-generative-adversarial-networks-image-deblurring-45e3ab6977b5

How I built a style transfer website that runs (mostly) serverless. Happy to discuss how the sausage is made and would love to hear how others would have built something like this.
https://rodrigo.red/blog/style-transfer-sass/

BinaryNet in TensorFlow: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1
https://github.com/tensorlayer/tensorlayer/blob/master/example/tutorial_binarynet_mnist_cnn.py

Node.js + face-recognition.js: простое и надёжное распознавание лиц с помощью глубокого обучения
https://habrahabr.ru/company/nixsolutions/blog/351586/

22 марта в 20:00 (время московское) OTUS Онлайн-образование проводит онлайн день открытых дверей курса «Разработчик BigData». https://otus.pw/5y4l/
На встрече можно будет познакомиться с преподавателем курса Ксенией Стройковой - математиком, аналитиком. участницей проектов MailruGroup по обработке больших данных. А еще задать вопросы о программе курса, узнать о проекте и партнерах, трудоустройстве после курса и специальных условиях от компании Avito, готовой компенсировать выпускникам курса стоимость обучения. И самый приятный бонус встречи - среди успешно прошедших вступительное тестирование будут разыграны бесплатные места на курсе.
Присоединяйтесь!

How to write a persuasive ICLR review: text mining the OpenReview dataset
https://medium.com/@jasonskessler/how-to-write-a-persuasive-iclr-review-visualizing-the-iclr-2018-review-data-set-a035bf89a946

A great overview and HOWTO for Mask R-CNN, an object detection/instance segmentation system for Keras/TensorFlow
https://engineering.matterport.com/splash-of-color-instance-segmentation-with-mask-r-cnn-and-tensorflow-7c761e238b46

Simple Keras implementation of Face Alignment (basis of DeepFakes)
https://github.com/bruceyang2012/Face-Alignment-with-simple-cnn

DVC 0.9.1 tutorial - good practices for organizing ML projects and collaborating
https://blog.dataversioncontrol.com/data-version-control-tutorial-9146715eda46

A PyTorch module implementing an Echo State Network
https://github.com/stefanonardo/pytorch-esn/

How to train a neural coreference model— Neuralcoref 2
https://medium.com/huggingface/how-to-train-a-neural-coreference-model-neuralcoref-2-7bb30c1abdfe

How smartphones are able to predict what you're doing via CNN + LSTM
https://medium.com/@davidjohansmolders/predicting-physical-activity-based-on-smartphone-sensor-data-using-cnn-lstm-9182dd13b6bc

Как мы предсказываем дату окончания и оценку проекта с помощью нейросети
https://habrahabr.ru/company/sberbank/blog/352054/