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3w-dataset-flow-instability-detection_cherif

Machine learning applied to Flow Instability problem from the 3W dataset

alocc-cvpr2018_ch

Adversarially Learned One-Class Classifier for Novelty Detection (ALOCC)

anomaly_detection_ch

anomaly_transformer_pytorch_cherif

PyTorch implementation of Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy

awesome-vaes-ch

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

beatgan_ch

BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series

blockchain_ch

Interacting with Ethereum Blockchain in Python

chatbot

Modélisation par apprentissage du comportement non verbal entre deux chatbots

clad_occ_ch

dagmm_deep-autoencoding-gaussian-mixture-model-for-unsupervised-anomaly-detection

My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection

deep-learning-youtube_ch

eifcher

Extended Isolation Forest for Anomaly Detection

esrnn_torch_ch

fader_network

featurelearningrotnet_ch

gan_time_series_ch

A model to generate time series data with the purpose of augmenting a dataset of various time series.

gaussian-ad-mvtec_cherif

Code underlying our publication "Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection" at ICPR2020

gcn-anomaly-detection_ch

Source codes of our paper in CVPR 2019: Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection

getting-things-done-with-pytorch_ch

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

gpnd_ch

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

ijcb2020_anomaly_ch

Pytorch implementation of code used for one-class anomaly detection based face anti-spoofing

implementation-d-une-cascade-de-r-gresseurs-pour-l-alignement-de-points-caract-ristiques-du-vi

keras-io_time_series_ae

Keras documentation, hosted live at keras.io

lightning-tutorials_ch

Collection of Pytorch lightning tutorial form as rich scripts automatically transformed to ipython notebooks.

lightning_cherif

Deep learning framework to train, deploy, and ship AI products Lightning fast.

lstm-ras-forecasting_ch

This project aims to use LSTM for forecasting the total output of a RAS system based on the sequential input data.

machine-learning-with-python_anomaly_d-tection-

Python code for common Machine Learning Algorithms

mnist-pytorch

mosint_

An automated e-mail OSINT tool

novelty-detection_ch

Latent space autoregression for novelty detection.