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100-days-of-code

Fork this template for the 100 days journal - to keep yourself accountable (multiple languages available)

ad_examples

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

analytics_vidhya

Codes related to activities on AV including articles, hackathons and discussions.

anomaly-detection-of-accelerometers-data

This repository contains the analysis I performed during the advanced machine learning data challenge (MDI341) at Télécom Paris.

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

anomaly-transformer

About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_

antgen

AMBAL-based NILM Trace generator

arcgis-python-api

Documentation and samples for ArcGIS API for Python

attention-cnn

Source code for "On the Relationship between Self-Attention and Convolutional Layers"

attentions

PyTorch implementation of some attentions for Deep Learning Researchers.

auth-simple-for-streamlit

A simple username/password database authentication solution for Streamlit

autodqm

A statistical tool for DQM shifters

awesome-face

An awesome face technology repository.

awesome-video-diffusion-models

Text-to-video, video diffusion models papers

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace and more

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

bigdata18

Transfer learning for time series classification

bof_eeg

Using Bag-of-Features to classify EEG time-series data

brits

catch22

catch-22: CAnonical Time-series CHaracteristics

categorical-encoding

A library of sklearn compatible categorical variable encoders

causalgraphicalmodels

Causal Graphical Models in Python

chaos_genius

ML powered analytics engine for outlier detection and root cause analysis.

clip-tsa

Implementation of "CLIP-TSA: CLIP-Assisted Temporal Self-Attention for Weakly-Supervised Video Anomaly Detection" (ICIP 2023)

cms-dqm

CMS data quality monitoring

cms_dc_anomaly

Outlier detection for CMS detector in LS granularity

cmssw

CMS Offline Software

commit-nilm

COMMIT-NILM: COMputational MonItoring Tool for NILM Algorithms

constructed-datasets

Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"

cpcad-bench

Continuous Industrial Process datasets for benchmarking Causal Discovery methods