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Name: Andrei Smirnov
Type: User
Name: Andrei Smirnov
Type: User
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python
Simple fault-tolerant AMQP client written in Scala and based on Akka and the RabbitMQ java client
Implementation of SQL SELECT for Aerospike Predicate Filter API
Bot detection agent that runs in the browser. Identify JavaScript bots, browser spoofing, virtual machines and much more.
Uplift modeling and causal inference with machine learning algorithms
Replicate your Key Value Store across your network, with consistency, persistance and performance.
ML data annotations made super easy for teams. Just upload data, add your team and build training/evaluation dataset in hours.
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
An open source library for deep learning end-to-end dialog systems and chatbots.
Notebooks for learning deep learning
Code for the book Deep Learning with PyTorch by Eli Stevens and Luca Antiga.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
The fastai deep learning library, plus lessons and tutorials
Library for fast text representation and classification.
FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/
Figaro Programming Language and Core Libraries
Browser fingerprinting library with the highest accuracy and stability.
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Html Content / Article Extractor in Scala
Go Training Class Material :
Hands-On Financial Trading with Python, published by Packt
Hands-on Python for Finance [Video], Published by Packt
Infer.NET is a framework for running Bayesian inference in graphical models
Edit code in IntelliJ, eval/run in Zeppelin notebook
Helps you with managing your investments
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.
A project template to simplify building and training deep learning models using Keras.
Pairwise comparisons with flexible time-dynamics.
Code for reproducing the results of the kickscore paper (KDD 2019).
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.