Применение рекуррентных слоев для решения многоходовок
https://habr.com/post/354220/
https://habr.com/post/354220/
Habr
Применение рекуррентных слоев для решения многоходовок
История Рекуррентные слои были изобретены еще в 80х Джоном Хопфилдом. Они легли в основу разработанных им искусственных ассоциативных нейронных сетей (сетей Хопфилда). Сегодня рекуррентные сети...
pytorch implementation of Get To The Point: Summarization with Pointer-Generator Networks
https://github.com/atulkum/pointer_summarizer
https://github.com/atulkum/pointer_summarizer
GitHub
GitHub - atulkum/pointer_summarizer: pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"
pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks" - GitHub - atulkum/pointer_summarizer: pytorch implementation of "Get To The P...
Announcing PyTorch 1.0 for both research and production
https://code.facebook.com/posts/172423326753505/
https://code.facebook.com/posts/172423326753505/
Facebook Code
Announcing PyTorch 1.0 for both research and production
We're announcing the next version of our open source AI framework, PyTorch 1.0, which integrates capabilities from Caffe2 and ONNX to provide a fast path from AI research to production.
Comparing Sentence Similarity Methods
http://nlp.town/blog/sentence-similarity/
http://nlp.town/blog/sentence-similarity/
Identifying Natural Language with 99% accuracy using Machine Learning (Python and Scikit-Learn)
https://youtu.be/5Bc6-uDcnqg
https://youtu.be/5Bc6-uDcnqg
YouTube
Natural Language Identification Machine Learning Pipeline with Python and Scikit-Learn
Graduate Project for Harvard's Python for Data Science (CSCI E - 29)
In this project, I pulled text data from European Parliament Proceedings in 21 languages. Using Scikit-Learn, I transformed the raw text into a numerical feature matrix, and trained a Multinomial…
In this project, I pulled text data from European Parliament Proceedings in 21 languages. Using Scikit-Learn, I transformed the raw text into a numerical feature matrix, and trained a Multinomial…
torchplus — implements the + operator on pytorch layers, returning nn.Sequential
https://github.com/knighton/torchplus
https://github.com/knighton/torchplus
GitHub
knighton/torchplus
Contribute to knighton/torchplus development by creating an account on GitHub.
Fountain - Natural Language Data Augmentation Tool
https://github.com/tzano/fountain
https://github.com/tzano/fountain
GitHub
GitHub - tzano/fountain: Natural Language Data Augmentation Tool for Conversational Systems
Natural Language Data Augmentation Tool for Conversational Systems - GitHub - tzano/fountain: Natural Language Data Augmentation Tool for Conversational Systems
Loc2Vec: Learning location embeddings with triplet-loss networks
http://www.sentiance.com/2018/05/03/loc2vec-learning-location-embeddings-w-triplet-loss-networks/
http://www.sentiance.com/2018/05/03/loc2vec-learning-location-embeddings-w-triplet-loss-networks/
Sentiance
Loc2Vec: Learning location embeddings with triplet-loss networks - Sentiance
Introduction At Sentiance, we developed a platform that takes in smartphone sensor data such as accelerometer, gyroscope and location information, and extracts behavioral insights. Our AI platform learns about the user’s patterns and is able to predict and…
tensornoscript: dependently-typed tensor computation that compiles to PyTorch and TensorFlow
https://github.com/rickyhan/tensornoscript
https://github.com/rickyhan/tensornoscript
GitHub
rickyhan/tensornoscript
tensornoscript - dependently-typed neural network DSL that shapechecks at compile time
Gender classification model using convolutional neural network
https://www.sanjayasubedi.com.np/2018/04/classifying-gender-using-convolutional.html
https://www.sanjayasubedi.com.np/2018/04/classifying-gender-using-convolutional.html
How to easily do Semantic Segmentation using Deep learning
https://medium.com/nanonets/how-to-do-image-segmentation-using-deep-learning-c673cc5862ef
https://medium.com/nanonets/how-to-do-image-segmentation-using-deep-learning-c673cc5862ef
Medium
How to do Semantic Segmentation using Deep learning
This article is a comprehensive overview including a step-by-step guide to implement a deep learning image segmentation model.
Стартапы, чат-боты, Кремниевая долина. Интервью с российскими разработчиками в Сан-Франциско
https://habr.com/company/newprolab/blog/355000/
https://habr.com/company/newprolab/blog/355000/
Хабр
Стартапы, чат-боты, Кремниевая долина. Интервью с российскими разработчиками в Сан-Франциско
Во время своей недавней поездки в Сан-Франциско я встретился с выпускниками нашей программы «Специалист по большим данным», эмигрировавшими в США — Евгением Шапи...
SmartMailHack. Решение 1-го места в задаче классификации логотипов
https://habr.com/post/354976/
https://habr.com/post/354976/
Хабр
SmartMailHack. Решение 1-го места в задаче классификации логотипов
Две недели назад закончился проходивший в офисе Mail.Ru Group хакатон для студентов SmartMailHack. На хакатоне предлагался выбор из трех задач; статья от победит...
Детектирование частей тела с помощью глубоких нейронных сетей
https://habr.com/company/ods/blog/354850/
https://habr.com/company/ods/blog/354850/
Habr
Детектирование частей тела с помощью глубоких нейронных сетей
Привет, Хабр! Сегодня я расскажу вам про один из методов решения задачи pose estimation. Задача состоит в детектировании частей тела на фотографиях, а метод наз...
Data Augmentation for Image Classification with PyTorch and imgaug - Tutorial with Google Colab link
https://github.com/fabioperez/pytorch-examples/blob/master/notebooks/PyTorch_Data_Augmentation_Image_Classification.ipynb
https://github.com/fabioperez/pytorch-examples/blob/master/notebooks/PyTorch_Data_Augmentation_Image_Classification.ipynb
GitHub
fabioperez/pytorch-examples
Tutorials, examples, and projects implemented with PyTorch - fabioperez/pytorch-examples
Using a LSTM to generate your next startup name
https://ndres.me/post/using-neural-network-generate-startup-name/
https://ndres.me/post/using-neural-network-generate-startup-name/
TensorFlow implementation of Independently Recurrent Neural Networks
https://github.com/batzner/indrnn
https://github.com/batzner/indrnn
GitHub
GitHub - batzner/indrnn: TensorFlow implementation of Independently Recurrent Neural Networks
TensorFlow implementation of Independently Recurrent Neural Networks - batzner/indrnn
Building a Simple Self-Driving Car Simulator
https://pointersgonewild.com/2018/05/21/building-a-simple-self-driving-car-simulator/
https://pointersgonewild.com/2018/05/21/building-a-simple-self-driving-car-simulator/
Pointers Gone Wild
Building a Simple Self-Driving Car Simulator
As part of my new job, I’ve been working with Professor Liam Paull and his students on building a simulator for Duckietown. This is a university course being taught at ETH Zurich, the Univers…