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Plotting tweets related to the NBA finals.
map estimation of topic models
A visualization tool that supports queries and pattern mining for event sequence exploration
Python Monte Carlo
My code for submitting to the kaggle march mania project
Yet Another Machine Learning Library - for Scala
publicly available data to understand markets in the US
data and source code for "Addressing Marketing Bias in Product Recommendations" WSDM'20
A curated collection of marketing articles & tools to grow your product.
A Python twitter bot that posts tweets generated by a Markov chain from given corpora.
A simple, extensible Markov chain generator.
Python library and tools to obfuscate data based on Markov models built off shared data
detects anomalies in unbalanced panel data using markov chain simulations
Paper list of multi-agent reinforcement learning (MARL)
MARMOT - the open source framework for feature extraction and machine learning, designed to estimate the quality of Machine Translation output
Mining Argument Structures with Expressive Inference (Linear and LSTM Engines)
:books: Специализация «Машинное обучение и анализ данных»
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
R code of my Master thesis in Statistics: Improving the FIFA ranking system using
Source code and pdf for my master thesis at MIPT
Mastering Machine Learning for Penetration Testing, published by Packt
Code and examples for the Mastering Data Mining project
Automatic camera selection mechanism based on facial feature detection
Master's thesis, FER 2015. A comparison of three approaches to language modelling: smoothed n-gram counting (Knesser-Ney), neural networks, log-bilinear model (distributed representations). Performance comparison on the Microsoft Research Sentence Completion Dataset.
a cheat-sheet for mathematical notation in code form
Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.
Mathematical and Technical Writing mini-course for Skoltech Independent Studies Period 2017.
For a 4-lecture minicourse on "Mathematics for Data Science", Skoltech, Autumn 2016
Mathematical Optimization for data-science: variants of gradient descent algorithms, proximal operators. Labs from NewUni teachers Robert Gower and Alexandre Gramfort)
The github repository for mathematical biostatistics bootcamp 2
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.