Popular GitHub Repositories for Drift Correction

Evidently is ??an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

? Online machine learning in Python

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

Python library for Modzy Machine Learning Operations (MLOps) Platform

Enhance Tesseract OCR output for scanned PDFs by applying Large Language Model (LLM) corrections.

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

Algorithms for outlier, adversarial and drift detection

MLBox is a powerful Automated Machine Learning python library.

Official implementation of the papers "GECToR – Grammatical Error Correction: Tag, Not Rewrite" (BEA-20) and "Text Simplification by Tagging" (BEA-21)

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.

Curated list of open source tooling for data-centric AI on unstructured data.

NeuSpell: A Neural Spelling Correction Toolkit

MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.

A fast, low-resource Natural Language Processing and Text Correction library written in Rust.

??Woodpecker: Hallucination Correction for Multimodal Large Language Models

NLP in Python with Deep Learning

Reference code for the paper: Deep White-Balance Editing (CVPR 2020). Our method is a deep learning multi-task framework for white-balance editing.

Project page of the paper "Learning Multi-Scale Photo Exposure Correction" (CVPR 2021).

? [BMVC 2022] You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction. SOTA for low light enhancement, 0.004 seconds try this for pre-processing.

Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.