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accmohamedsaber.github.io

adanet

Fast and flexible AutoML with learning guarantees.

amlsim

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.

anomaly-detection-for-keystroke-dynamics

Comparing Anomaly-Detection Algorithms for Keystroke Dynamics based on http://www.cs.cmu.edu/~keystroke/

api_python

articles-code

💻 Decoding ML articles hub: Hands-on articles with code on production-grade ML

aurora

An open source enterprise data warehousing and analysis platform.

awesome-federated-machine-learning

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

awesome-fraud-detection-papers

A curated list of data mining papers about fraud detection.

data-science-and-machine-learning-with-python---hands-on

Data Science and Machine Learning with Python - Hands On from Udemy

data-what-now

All codes from the DataWhatNow blog.

demo-scene_kafka_aml_fraud_detection

👾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/

dgfraud

A Deep Graph-based Toolbox for Fraud Detection

dgfraud-tf2

A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X

discourse

A platform for community discussion. Free, open, simple.

docker-cheat-sheet

Docker Cheat Sheet

dockerizing-ruby

Dockerizing Ruby Tutorial

dse200_python_for_data_analysis

Homework/Classwork for my DSE 200 Python for Data Analysis Class at UC San Diego (UCSD)

example-portfolio

Example data science portfolio

financial-fraud-detection-using-llms

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

fraud-detection-using-machine-learning

Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker

gensim

Topic Modelling for Humans

git-hub-repo-in-visual-studio-test

graph-fraud-detection-papers

A curated list of fraud detection papers using graph information or graph neural networks

gretel-synthetics

Synthetic data generators for structured and unstructured text, featuring differentially private learning.

hackerrank-problem-solving-python-solutions

Hackerrank Problem solving solutions in Python

hackerrank19

handle-imbalanced-data

Get familiar with various techniques to handle the imbalanced class.

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.