Super VIP Cheatsheet: Machine Learning https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/super-cheatsheet-machine-learning.pdf
relational-rnn-pytorch
An implementation of DeepMind's Relational Recurrent Neural Networks (Santoro et al. 2018) in PyTorch.
https://github.com/L0SG/relational-rnn-pytorch
An implementation of DeepMind's Relational Recurrent Neural Networks (Santoro et al. 2018) in PyTorch.
https://github.com/L0SG/relational-rnn-pytorch
GitHub
GitHub - L0SG/relational-rnn-pytorch: An implementation of DeepMind's Relational Recurrent Neural Networks (NeurIPS 2018) in PyTorch.
An implementation of DeepMind's Relational Recurrent Neural Networks (NeurIPS 2018) in PyTorch. - GitHub - L0SG/relational-rnn-pytorch: An implementation of DeepMind's Relational Re...
Top 10 Deep Learning Github Repositories 2018. https://www.techleer.com/articles/547-top-10-deep-learning-github-repositories-2018/
Backpropagation And Gradient Descent Tutorial | Deep Learning Tutorial - Part 2 | Edureka
https://www.youtube.com/watch?v=Dws9Zveu9ug&t=312s
https://www.youtube.com/watch?v=Dws9Zveu9ug&t=312s
YouTube
Backpropagation And Gradient Descent Tutorial | Deep Learning Tutorial - Part 2 | Edureka
TensorFlow Training - https://www.edureka.co/ai-deep-learning-with-tensorflow
Part - 1 Introduction to Neural Networks: https://www.youtube.com/watch?v=WLxI4D01nj8
This Edureka video on "Backpropagation and Gradient Descent Tutorial" is part 2 of the neural…
Part - 1 Introduction to Neural Networks: https://www.youtube.com/watch?v=WLxI4D01nj8
This Edureka video on "Backpropagation and Gradient Descent Tutorial" is part 2 of the neural…
How to Predict Whether a Persons Eyes are Open or Closed Using Brain Waves https://machinelearningmastery.com/how-to-predict-whether-eyes-are-open-or-closed-using-brain-waves/
HyperparameterHunter
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries https://github.com/HunterMcGushion/hyperparameter_hunter
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries https://github.com/HunterMcGushion/hyperparameter_hunter
GitHub
GitHub - HunterMcGushion/hyperparameter_hunter: Easy hyperparameter optimization and automatic result saving across machine learning…
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries - HunterMcGushion/hyperparameter_hunter
The neural network was trained to recognize depression by an arbitrary human speech without context https://habr.com/post/421775/
Хабр
Нейросеть обучили распознавать депрессию по произвольной речи человека без контекста
Нейросеть оценивает эмоциональную окраску 30-секундного фрагмента речи говорящего. Иллюстрация из предыдущей научной работы авторов В последние годы машинное...
How and When to Use ROC Curves and Precision-Recall Curves for Classification in Python https://machinelearningmastery.com/roc-curves-and-precision-recall-curves-for-classification-in-python/
What are the experts in data analysis really doing? Conclusions from 35 interviews https://habr.com/company/wirex/blog/421845/
Хабр
Чем на самом деле занимаются специалисты по анализу данных? Выводы из 35 интервью
Автор материала провел серию бесед с экспертами в области анализа и обработки данных и сделал выводы о перспективах и направлениях развития дата-сайентистов. Т...
A Style-Aware Content Loss for Real-time HD Style Transfer
Source code for the ECCV18 paper:
https://github.com/CompVis/adaptive-style-transfer
Source code for the ECCV18 paper:
https://github.com/CompVis/adaptive-style-transfer
GitHub
GitHub - CompVis/adaptive-style-transfer: source code for the ECCV18 paper A Style-Aware Content Loss for Real-time HD Style Transfer
source code for the ECCV18 paper A Style-Aware Content Loss for Real-time HD Style Transfer - CompVis/adaptive-style-transfer
Introducing a New Framework for Flexible and Reproducible Reinforcement Learning Research https://ai.googleblog.com/2018/08/introducing-new-framework-for-flexible.html
Googleblog
Introducing a New Framework for Flexible and Reproducible Reinforcement Learning Research
How and When to Use a Calibrated Classification Model with scikit-learn https://machinelearningmastery.com/calibrated-classification-model-in-scikit-learn/