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Code and examples for the Mastering Data Mining project
Business Intelligence and Data Warehousing
SMACK stack installer for DC/OS
Machine Intelligence Core:Reinforcement Learning. A sub-project of Machine Intelligence Core framework. The repository contains solutions and applications related to (deep) reinforcement learning. In particular, it contains several classical problems (N-armed bandits, several variations of Gridworld), POMDP environments (Gridworld, Maze of Digits, MNIST digit) and algorithms (from simple Value Iteartion and Q-learning to DQN with Experience Replay).
E-Commerce LookML for CS Ramp 3.5
Demo project showing how to deploy MongoDB in a local Minikube Kubernetes environment
A standard machine learning library written in Java. It contains several pieces of code/methods/functions that are related with ML and useful for my research. More functions and algorithms are being developed (mostly when I need them).
My notes and superstitions about common machine learning algorithms
Short Course - Applied Machine Learning for Risk Management
Repository for the free online book Machine Learning from Scratch (link below!)
OpenDataScience Machine Learning course. Both in English and Russian
Worked out programs from Machine Learning in Python by Michael Bowles
Methods for the parallel and distributed analysis and mining of the Protein Data Bank using MMTF and Apache Spark.
MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.
Docker environment that spins up MongoDB replica set, Spark, and Jupyter Kab. Example code uses PySpark and the MongoDB Spark Connector.
the code to monitoring the resource used in cluster with psutil python API
Multiobjective Reinforcement Learning Benchmark Suite
MRA++ is a MapReduce with Adapted Algorithms to Heterogeneous and Volatile Environments, based on MRSG.
A high-level MapReduce simulator
Mutli-label text classification using ConvNet and graph embedding (Tensorflow implementation)
This is to create multiple virtual machines using vagrant script
A multi-user, distributed computing environment for running DL model training experiments on Intel® Xeon® Scalable processor-based systems
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.