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Name: Cherif IGUI
Type: User
Company: Sorbonne université
Location: 4 place Jussieu, Paris
Name: Cherif IGUI
Type: User
Company: Sorbonne université
Location: 4 place Jussieu, Paris
Machine learning applied to Flow Instability problem from the 3W dataset
Adversarially Learned One-Class Classifier for Novelty Detection (ALOCC)
PyTorch implementation of Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series
Interacting with Ethereum Blockchain in Python
Modélisation par apprentissage du comportement non verbal entre deux chatbots
My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection
Extended Isolation Forest for Anomaly Detection
A model to generate time series data with the purpose of augmenting a dataset of various time series.
Code underlying our publication "Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection" at ICPR2020
Source codes of our paper in CVPR 2019: Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection
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
Generative Probabilistic Novelty Detection with Adversarial Autoencoders
Pytorch implementation of code used for one-class anomaly detection based face anti-spoofing
Keras documentation, hosted live at keras.io
Collection of Pytorch lightning tutorial form as rich scripts automatically transformed to ipython notebooks.
Deep learning framework to train, deploy, and ship AI products Lightning fast.
This project aims to use LSTM for forecasting the total output of a RAS system based on the sequential input data.
Python code for common Machine Learning Algorithms
An automated e-mail OSINT tool
Latent space autoregression for novelty detection.
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.