accmohamedsaber Goto Github PK
Name: Mohamed Saber
Type: User
Bio: Data Scientist
Location: London
Name: Mohamed Saber
Type: User
Bio: Data Scientist
Location: London
Fast and flexible AutoML with learning guarantees.
The AMLSim project is intended to provide a multi-agent based simulator that generates synthetic banking transaction data together with a set of known money laundering patterns - mainly for the purpose of testing machine learning models and graph algorithms. We welcome you to enhance this effort since the data set related to money laundering is critical to advance detection capabilities of money laundering activities.
Comparing Anomaly-Detection Algorithms for Keystroke Dynamics based on http://www.cs.cmu.edu/~keystroke/
💻 Decoding ML articles hub: Hands-on articles with code on production-grade ML
An open source enterprise data warehousing and analysis platform.
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
A curated list of data mining papers about fraud detection.
Data Science and Machine Learning with Python - Hands On from Udemy
All codes from the DataWhatNow blog.
👾Scripts and samples to support Confluent Demos and Talks. ⚠️Might be rough around the edges ;-) 👉For automated tutorials and QA'd code, see https://github.com/confluentinc/examples/
A Deep Graph-based Toolbox for Fraud Detection
A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X
A platform for community discussion. Free, open, simple.
Docker Cheat Sheet
Dockerizing Ruby Tutorial
Homework/Classwork for my DSE 200 Python for Data Analysis Class at UC San Diego (UCSD)
Example data science portfolio
The aim of this dissertation is to assess the effectiveness of LLMs such as FinBERT and GPT-2 in detecting fraudulent activities in financial reports and statements. This repo provides the code for implementing LLMs, traditional machine learning and deep learning models on the labelled dataset
Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker
Code samples used on cloud.google.com
Topic Modelling for Humans
A curated list of fraud detection papers using graph information or graph neural networks
Synthetic data generators for structured and unstructured text, featuring differentially private learning.
Hackerrank Problem solving solutions in Python
Get familiar with various techniques to handle the imbalanced class.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
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.