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Name: Alexandre P. Clement
Type: User
Blog: www.aclement.eu
Name: Alexandre P. Clement
Type: User
Blog: www.aclement.eu
A scala kernel for Jupyter
A novel approach for synthesizing tabular data using pretrained large language models
BigDL: Distributed Deep Learning Library for Apache Spark
Brunel Visualization
capstone project of the coursera data science specialization
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.
Code for the paper "CollaborEM: A Self-supervised Entity Matching Framework Using Multi-features Collaboration". TKDE 2021.
Map Reduce Implementation of Connected Component on Apache Spark
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.
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.
datascience coursera
http://DataScienceSpecialization.github.io
The Leek group guide to data sharing
A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.
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.
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.
Deep learning-based outlier/anomaly detection
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.
Deep SAD model with customized datasets. Source: https://github.com/lukasruff/Deep-SAD-PyTorch
Extended Isolation Forest for Anomaly Detection
JQuery plugin that provides HTML modularization with a simple implementation of the View concept.
A collection of Jupyter notebooks showing what you can do with the almond Scala kernel.
Plotting Assignment 1 for Exploratory Data Analysis
A multi-device html5 micro framework
Java Agent-based Macroeconomic Laboratory
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.