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almond

A scala kernel for Jupyter

bigdl

BigDL: Distributed Deep Learning Library for Apache Spark

brunel

Brunel Visualization

capstoneproject

capstone project of the coursera data science specialization

cfds

A series of interactive labs we prepared for the Chartered Financial Data Scientist Certification. The content of the series is based on Python, IPython Notebook, and PyTorch.

collaborem

Code for the paper "CollaborEM: A Self-supervised Entity Matching Framework Using Multi-features Collaboration". TKDE 2021.

connected-component

Map Reduce Implementation of Connected Component on Apache Spark

courseaiml

A series of interactive labs we prepared for the Introduction into Artificial Intelligence and Machine Learning course. The content of the series is based on Python, IPython Notebook, and PyTorch.

coursemldl

A series of interactive labs we prepared for the Introduction into Machine Learning and Deep Learning course. The content of the series is based on Python, IPython Notebook, and PyTorch.

dataiku-test

datasciencecoursera

datascience coursera

datasciencespecialization.github.io

http://DataScienceSpecialization.github.io

datasharing

The Leek group guide to data sharing

deep-sad-pytorch

A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.

deepad

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 Jupyter Notebook, Python and PyTorch.

deepai

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.

deepod

Deep learning-based outlier/anomaly detection

deeppaper

The Financial Audit Data Analytics Paper Collection is an academic paper collection that encompasses data analytics, machine learning, and deep learning papers that produce experimental results related to the audit of financial accounting data.

deepsad-custom

Deep SAD model with customized datasets. Source: https://github.com/lukasruff/Deep-SAD-PyTorch

developingdataproductsproject

eif

Extended Isolation Forest for Anomaly Detection

eks-lambda-py

eks-lambda-python

encoignurejs

JQuery plugin that provides HTML modularization with a simple implementation of the View concept.

examples

A collection of Jupyter notebooks showing what you can do with the almond Scala kernel.

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

gettingcleaningdatacourseproject

gigot

A multi-device html5 micro framework

jamel

Java Agent-based Macroeconomic Laboratory

jdbc2s

A JDBC streaming source for Spark