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Name: Redhwan013
Type: User
Name: Redhwan013
Type: User
Curated applications for Kubernetes
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
This project is trained on private MRI data, where scans are marked QC_PASS or QC_FAIL. Several architectures of neural networks are explored to make automatic predictions for new images.
Real-time dense visual SLAM system
This is a C++ code that aims at finding patterns in financial data series. To find these patterns, the code uses Artificial Neural Networks implemented by FANN library.
Computing financial risk factor and decrease in cost of functions using feed forward neural network(SGD)
A curated collection of free C# and .NET eBooks
Freeze column and fixed header in Table or GridView
Image recognition methods from bag of words (BoW), Spatial Pyramid Matching (SPM), Sparse Codeing SPM (ScSPM) to convolutional neural networks (CNN)
this is the code for co-fusion and elastic-fusion, which can convert images to klg file. enjoy it!
Dataset tools for working with the KITTI dataset raw data ( http://www.cvlibs.net/datasets/kitti/raw_data.php ) and converting it to a ROS bag. Also allows a library for direct access to poses, velodyne scans, and images.
This is the code for the "Make a Neural Network" - Intro to Deep Learning #2 by Siraj Raval on Youtube
Super Tiny jQuery 360 Degrees Product Image Viewer
This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using TensorFlow
Code samples for my book "Neural Networks and Deep Learning"
An accurate prediction of credit risk evaluation is very useful for the banking and financial industry in minimizing the risk in lending credit to the customer and decreasing the chances of making wrong decision. As the increase in customers and emergence of different trade, it is difficult for bank management to analyze individual physically hence data mining algorithms are implemented in order to reduce the work effort by the bank management. This study attempted to implement three data mining model and compared their performances in predicting the risk in giving credit to the customer. In this study neural network based on back propagation, naive Bayes algorithm and support vector machine were implemented. Eight technical indicators were used as input for the above models. Data preprocessing were done to increase the performance of their prediction. A comparative analysis of the models was carried out and experimental results showed that the performance of Support Vector Machine (92%) was higher than the other two. Naïve Bayes (87%) performance was found little better than that of Artificial Neural Network (85%). Findings from this study can help in improvement of the existing system.
Another attempt to use Deep-Learning in the financial markets
Official Microsoft GitHub Repository containing code samples for SQL Server
This project is to practice applying Long Short-Term Memory network in deep learning to predict time series financial data. I selected Amazon's stock prices in the past five years and achieved a satisfying prediction result.
TensorFlow API for .NET languages
AirTicketing in C#.net MVC 5 api for Ticket Reservation. Travelport Galileo GDS. ... A standardized environment to create an interface to the Travelport Apollo or Travelport Galileo GDS via dedicated line or VPN connection.
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.