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Source Code for the book Building Machine Learning Systems with Python
A library of sklearn compatible categorical variable encoders
This repo outlines a method for differentiating between anomalies and expected outliers using the Microsoft Anomaly Detection API and Binary Classification to assist with Time Series Filtering.
A repository containing 300D character embeddings derived from the GloVe 840B/300D dataset, and uses these embeddings to train a deep learning model to generate Magic: The Gathering cards using Keras
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Code repository for Deep Learning with Keras published by Packt
Facebook's fasttext tech
Development and implementation of the feature selector
Topic Modelling for Humans
For the "Practical Machine Learning with H2O" book, to be published by O'Reilly (ISBN, etc. coming soon)
Python module to perform under sampling and over sampling with various techniques.
Notebooks and code for the book "Introduction to Machine Learning with Python"
Code for the Kaggle Ensembling Guide Article on MLWave
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
LDA workshop presented by Fast Forward Labs
Нейронная сеть, генерирующая фейковые заголовки новостей в стиле Ленты.ру
An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!
:books: Специализация «Машинное обучение и анализ данных»
"Data Mining in Action Course", Moscow Institute of Physics and Technologies
practical guides, tutorials, and code samples for ml4a
Приёмы в машинном обучении
http://mlbootcamp.ru/round/12/sandbox/
OpenDataScience Machine Learning course. Both in English and Russian
:pencil2: parsing random information about movies
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.