This repository contains all the updates, code, and documentation related to ClassiPyGRB.

Collection of operational time series ML models and tools

[ICML 2024] Let Go of Your Labels with Unsupervised Transfer

Univariate Time-Series Anomaly Detection algorithms from TSB-UAD

Lua-Based Machine, Deep And Reinforcement Learning Library (For Roblox And Pure Lua). Contains 34 Models!

Corresponding code of 'Quiros A.C.+, Coudray N.+, Yeaton A., Yang X., Chiriboga L., Karimkhan A., Narula N., Pass H., Moreira A.L., Le Quesne J.*, Tsirigos A.*, and Yuan K.* Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unlabeled, unannotated pathology slides. 2024'

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

Automated discovery and classification of websites content through unsupervised learning approach

Anomaly detection related books, papers, videos, and toolboxes

This are the Machine Learning notes by leading AI website named Deeplearning.AI. This notes will help you to be a machine learner from beginner to advanced level. Welcome Everyone!!

XCSF learning classifier system: rule-based online evolutionary machine learning

Exercises on Machine Learning

My personal implementation of several unsupervised learning algorithms

Algorithms for outlier, adversarial and drift detection

A curated list of classic artificial intelligence paper

Unsupervised decoding of hidden markov models from transformer residual streams (for transformers also trained on HMM data and acting as optimal predictors of the HMM)

Binary Classification

Customer segmentation is essential for enhancing marketing efficiency and satisfaction. By categorizing customers based on demographics, interests, and purchasing behavior, companies tailor messages to engage each segment effectively. Our app utilizes advanced clustering algos like KMeans, DBSCAN, and AGNES to extract insights from data

An overview of all clustering techniques with examples of data.