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Name: dimatolsto
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Name: dimatolsto
Type: User
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
A sparsity aware implementation of "Binarized Attributed Network Embedding" (ICDM 2018).
Jupyter notebooks for our O'Reilly book "Blueprints for Text Analysis Using Python"
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
The Leek group guide to data sharing
Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras
Tensorflow implementation of Amazon DeepAR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
A collection of various deep learning architectures, models, and tips
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
demography package for R
Notebooks for learning deep learning
Deep Recurrent Survival Analysis, an auto-regressive deep model for time-to-event data analysis with censorship handling. An implementation of our AAAI 2019 paper.
PyTorch GPU implementation of the ES-RNN model for time series forecasting
Plotting Assignment 1 for Exploratory Data Analysis
Google Research
h2o = fast statistical, machine learning & math runtime for bigdata
Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, GBM, GLM...)
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Healthcare Twitter Analysis Initial Files
A curated list of applied machine learning and data science notebooks and libraries across different industries.
1st Place Solution for Search Results Relevance Competition on Kaggle (https://www.kaggle.com/c/crowdflower-search-relevance)
A Python 2 and 3 library making time series data mining tasks utilizing matrix profile algorithms accessible to everyone.
Models and examples built with TensorFlow
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.