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Autologger for work logs in Jira
Lean Algorithmic Trading Engine by QuantConnect (C#, Python, F#)
Now a day’s recommendation system has changed the style of searching the things of our interest. This is information filtering approach that is used to predict the preference of that user. This is information filtering approach that is used to predict the preference of that user. The most popular areas where recommender system is applied are books, news, articles, music, videos, movies etc. In this paper we have proposed a movie recommendation system named MOVIEREC. It is based on collaborative filtering approach that makes use of the information provided by users, analyzes them and then recommends the movies that is best suited to the user at that time. The recommended movie list is sorted according to the ratings given to these movies by previous users and it uses ALS algorithm for this purpose. MOVIEREC also help users to find the movies of their choices based on the movie experience of other users in efficient and effective manner without wasting much time in useless browsing. This system has been developed in Python using ApacheSpark 2.4. The presented recommender system generates recommendations using various types of knowledge and data about users, the available items, and previous transactions stored in customized databases. The user can then browse the recommendations easily and find a movie of their choice
Machine learning movie recommending system
repository for python scripts that help in automating boring tasks
Polar is a personal knowledge repository for PDF and web content supporting incremental reading and document annotation.
C#.NET desktop application that semi-automates publishing tasks for regular deployment.
Notebooks and Scripts for Quant Trading using Python and Yahoo Finance API
Simple React OpenIdConnect component
Combines a React App with a DotNet Core Web Api Backend and an OAuth2 Google Login
Clone a voice in 5 seconds to generate arbitrary speech in real-time
.NET Core project that connects to the Salesforce Streaming API.
Chatbot in 200 lines of code using TensorLayer
Shift Scheduler
Easy Apply to Jobs
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
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A robot that log your work based on your activities everyday for Neoxam JIRA
Stock Trading Bot using Deep Q-Learning
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A declarative, efficient, and flexible JavaScript library for building user interfaces.
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TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
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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.
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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.
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We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.