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Name: Yevgeniy
Type: User
Bio: Learning something new everyday
Location: Toronto
Name: Yevgeniy
Type: User
Bio: Learning something new everyday
Location: Toronto
Materials for Data Science Journey 2017
Annotation of ECG signals using deep learning.
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
A nonprofit community run, 5-day Deep Learning Bootcamp
Convolutional and LSTM networks to classify human activity
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Code repository for Deep Learning with Theano by PACKT
OpenCL library to train deep convolutional neural networks
Drone Imaging Language
Task description and data for candidates applying to be a Data Analyst in the Discovery department at Wikimedia Foundation.
Introduction to opencl with python
TensorFlow tutorials and best practices.
The fast.ai deep learning library, lessons, and tutorials
Develop a novel method for fast retrieval of k-Nearest Neighbors for time series curves
The book's repo
Exploring anomaly detection in time series data
This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
python wrapper for the OpenCL FFT library clFFT
Code and documentation for the winning sollution at the Grasp-and-Lift EEG Detection challenge
this repository accompanies my forthcoming book "Grokking Deep Learning"
A toolkit for developing and comparing reinforcement learning algorithms.
Hands on Unsupervised Learning with Python [Video], Published by Packt
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)
Code repository for the paper "Hyperparameter Optimization: A Spectral Approach" by Elad Hazan, Adam Klivans, Yang Yuan.
Материалы к соревнованию Sberbank Holdem Challenge http://sberbank.ai
Init creation
A curated list of applied machine learning and data science notebooks and libraries across different industries.
Kaggle: Instacart Market Basket Analysis, 3rd Place
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.