GitHub topics: covariate-shift
IFCA-Advanced-Computing/frouros
Frouros: an open-source Python library for drift detection in machine learning systems.
Language: Python - Size: 22.3 MB - Last synced at: 1 day ago - Pushed at: 3 months ago - Stars: 215 - Forks: 16

biquality-learn/biquality-learn
A Python Library for Biquality Learning
Language: Python - Size: 132 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 14 - Forks: 1

ing-bank/popmon
Monitor the stability of a Pandas or Spark dataframe ⚙︎
Language: Python - Size: 5.79 MB - Last synced at: 8 days ago - Pushed at: 3 months ago - Stars: 500 - Forks: 36

st-tech/zozo-shift15m
SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shifts
Language: Python - Size: 10.8 MB - Last synced at: 9 days ago - Pushed at: over 1 year ago - Stars: 171 - Forks: 16

edadaltocg/detectors
Python package to accelerate research on generalized out-of-distribution (OOD) detection.
Language: Python - Size: 4.8 MB - Last synced at: 12 days ago - Pushed at: 10 months ago - Stars: 12 - Forks: 0

MEDomics-UdeS/MED3pa
Python Open-source package that ensures robust and reliable ML models deployments
Language: Python - Size: 11 MB - Last synced at: 29 days ago - Pushed at: 3 months ago - Stars: 5 - Forks: 0

monk1337/Awesome-Distribution-Shift
A curated list of Distribution Shift papers/articles and recent advancements.
Size: 547 KB - Last synced at: 11 days ago - Pushed at: over 2 years ago - Stars: 15 - Forks: 1

monk1337/Awesome-Robust-Machine-Learning
A curated list of Robust Machine Learning papers/articles and recent advancements.
Size: 456 KB - Last synced at: 3 days ago - Pushed at: over 2 years ago - Stars: 29 - Forks: 0

shubham5027/Store-Item-Demand-Crypto-Price-Prediction-using-Multiple-Time-Series-Forecasting
l train and evaluate multiple time-series forecasting models using the Store Item Demand Forecasting Challenge dataset from Kaggle. This dataset has 10 different stores and each store has 50 items, i.e. total of 500 daily level time series data for five years (2013–2017).
Language: Jupyter Notebook - Size: 6.2 MB - Last synced at: 2 days ago - Pushed at: 10 months ago - Stars: 3 - Forks: 0

wmkouw/ctrl-iwxval
Controlled importance-weighted cross-validation
Language: MATLAB - Size: 344 KB - Last synced at: 13 days ago - Pushed at: over 5 years ago - Stars: 6 - Forks: 0

IQTLabs/speech_shift 📦
Demonstrating covariate shift detection using VOiCES
Language: Jupyter Notebook - Size: 103 KB - Last synced at: 11 months ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 3

jayrcausal/Essential3CRL
Research about Causality-based Reinforcement Learning. This repository includes all needed fundamentals, summary of past work and some most recent development
Language: Jupyter Notebook - Size: 63.1 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 0

zelros/cinnamon
CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system
Language: Python - Size: 2.02 MB - Last synced at: 12 months ago - Pushed at: over 2 years ago - Stars: 75 - Forks: 9

melanibe/distance_matters_performance_estimation
Code for "Distance Matters for Improving Performance Estimation Under Covariate Shift", ICCV Workshop on Uncertainty Quantification 2023, Roschewitz & Glocker.
Language: Jupyter Notebook - Size: 2.08 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0

ahhaque/FUSION
Efficient Multistream Classification using Direct DensIty Ratio Estimation
Language: Python - Size: 38.1 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 5

nocotan/IGIWERM
Information Geometrically Generalized Covariate Shift Adaptation
Language: Python - Size: 102 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 1

gunaa12/Bank-Lending-Prediction
Given financial information of a person, this determines, based on past data (through boosted decision trees), whether or not to approve their loan request.
Language: Jupyter Notebook - Size: 2.17 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

aws-samples/sagemaker-model-monitor-bring-your-own-container
In this repository, we will present techniques to detect covariate drift, and demonstrate how to incorporate your own custom drift detection algorithms and visualizations with SageMaker model monitor.
Language: Jupyter Notebook - Size: 960 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 12 - Forks: 3

albertusk95/probabilistic-covshift
Density Ratio Estimation with Probabilistic Classification Approach
Language: Jupyter Notebook - Size: 597 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 4 - Forks: 1

sangdon/pac-ps-w
PAC Prediction Sets Under Covariate Shift
Language: Python - Size: 1.39 GB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 1

wmkouw/covshift-l2reg
Regularization parameter estimation under covariate shift
Language: MATLAB - Size: 4.72 MB - Last synced at: 16 days ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0

wmkouw/sample-covariateshift
Sample from synthetic covariate shift problem
Language: Matlab - Size: 4.88 KB - Last synced at: 16 days ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 0
