A curated list of data mining papers about fraud detection.
- fraud-detection
- fraud-prevention
- fraud-checker
- fraud-management
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A curated list of data mining papers about fraud detection.
A collection of computer vision pre-trained models.
A curated list of gradient boosting research papers with implementations.
Papers, code and datasets about deep learning and multi-modal learning for video analysis
Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)
An AngularJS exam with questions from beginner to expert by @gdi2290 from @AngularClass
Edrys is an open and modular remote teaching platform (and the first live LMS)
An awesome list of resources for specific science, technology, engineering, art, and math (STEAM) classes that students and teachers can use to supplement their learning
Solutions to In-Class questions, Problem Sets and Exams of MIT Mathematics for Computer Science 2015 (same as 2019 Open Learning Library)
A fast and flexible c++ template class for tree data structures
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.
Cyber Defence Monitoring Course Suite :: Suricata, Arkime (and others in the past)
🌸 iOS11 demo application for flower classification.
A curated, opinionated list of best-in-class books for modern software development, popular programming languages, and AI/ML.
Learning the functional paradigm with js
Examples of Tensorflow Lite on Android
📊 🌐 🧑🏫 Website for graduate-level course on program evaluation and causal inference using R, built with Quarto
🖼 iOS11 demo application for image style classification.
This project presents a Python-based spam detector program that utilizes the Naive Bayes approach to classify emails as either spam or ham. The system is designed to accurately and efficiently identify spam messages, providing a useful tool for individuals and organizations seeking to manage their email inboxes more effectively.
Playground showing how to use swift2 protocol extensions to render errors in UIViews and UIViewControllers without subclassing
🏷 iOS11 demo application for predicting gender from first names.
Libraries demonstrating design patterns for programming and proving with canonical structures in Coq [maintainer=@anton-trunov]
.Net Code Katas - A prebuild Kata project that already includes tests and base classes.
GearsVK: A Vulkan port of the classic 'gears' demo using VKK