Notebooks from the Machine Learning Specialization

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

A set of jupyter notebooks

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER

A curated collection of machine learning resources, including notebooks, code, and books, all of which are either free or open-source

Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.

Nvidia DLI workshop on AI-based anomaly detection techniques using GPU-accelerated XGBoost, deep learning-based autoencoders, and generative adversarial networks (GANs) and then implement and compare supervised and unsupervised learning techniques.

Machine Learning exercises in Python (Jupyter notebooks)

Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Workshop on Anomaly Detection in Finance that will walk you through the detection of interpretable accounting anomalies using adversarial autoencoder neural networks. The majority of the lab content is based on J…

This notebook demonstrates how to use the Microsoft Azure Anomaly Finder Service.

Repository contains notebooks with some AI related problems and sometimes not

Data Science notebooks

Anomaly Detection in the Wild -- presentation and notebook for PyCon Canada 2019

Bootlier implementation for anomaly detection

In this repo, I have uploaded all the projects that I made while learning ml techniques and are a good start for beginners. You can use them as well to learn.

ISOLATION FOREST ALGORITHM FOR PIEZO DATA

jupyter notebooks anomaly detection

Anomaly detection notebook

This Repo contains Notebook for Anomaly Detection using Dimensionality Reduction techniques