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Name: Evgeny Nikolaev
Type: User
Name: Evgeny Nikolaev
Type: User
Autoencoder model for rare event classification
A curated list of awesome embedding models tutorials, projects and communities.
A curated list of awesome Machine Learning frameworks, libraries and software.
A topic-centric list of high-quality open datasets in public domains. Propose NEW data ☛☛☛PR☛☛☛
Comically fast Dota 2 & CSGO replay parser written in Java.
A TensorFlow implementation of the Continous Wavelet Transform based on the complex Morlet wavelet.
Машинное обучение и анализ данных
:mortar_board: CS224n: Natural Language Processing with Deep Learning
:mortar_board: CS231n: Convolutional Neural Networks for Visual Recognition
A sample code of data augmentation methods for wearable sensor data (time-series data)
Материалы к книге "Классификация, регрессия, и другие алгоритмы Data Mining с использованием R"
Deep Learning course from Carnegie mellon university
Tutorials for Fall 2018
Grok open release
Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.
:mortar_board: Введение в машинное обучение. Курс от ВШЭ и ШАД на coursera.org
Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the user’s pocket. The activities to be classified are: Standing, Sitting, Stairsup, StairsDown, Walking and Cycling.
Приложения к книге "Введение в статистическое обучение с примерами на языке R"
Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
Масштабируемое машинное обучение и анализ больших данных с Apache Spark
Human activity recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING) - Guillaume Chevalier
My Attempt In The World Of ML....
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.