t-elf
Tensor Extraction of Latent Features (T-ELF). Within T-ELF's arsenal are non-negative matrix and tensor factorization solutions, equipped with automatic model determination (also known as the estimation of latent factors - rank) for accurate data modeling. Our software suite encompasses cutting-edge data pre-processing and post-processing modules.
susi
SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)
hyperspectral-regression
Code examples for the book chapter "Supervised, Semi-Supervised and Unsupervised Learning for Hyperspectral Regression".
anomalib
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
boxsers
Python package that provides a full range of functionality to process and analyze vibrational spectra (Raman, SERS, FTIR, etc.).
xcsf
XCSF learning classifier system: rule-based online evolutionary machine learning
goneat
The GOLang implementation of NeuroEvolution of Augmented Topologies (NEAT) method to evolve and train Artificial Neural Networks without error back propagation
metacluster
MetaCluster: An Open-Source Python Library for Metaheuristic-based Clustering Problems
lgn-autoencoder
Lorentz group equivariant autoencoders based on Lorentz Group Network
tyc-dataset
Official and maintained implementation of the dataset paper "The TYC Dataset for Understanding Instance-Level Semantics and Motions of Cells in Microstructures" [ICCVW 2023].
com.linkedin.isolation-forest
A distributed Spark/Scala implementation of the isolation forest algorithm for unsupervised outlier detection, featuring support for scalable training and ONNX export for easy cross-platform inference.
indonesian-sentence-embeddings
Embedding Representation for Indonesian Sentences!
approaching-an-unknown-communication-system
Code/supplement for the paper "Approaching an unknown communication system by latent space exploration and causal inference"
r-python
Denetimsiz Makine Öğrenmesi Algoritmaları: R ve Python Uygulamaları Kitabındaki R ve Python kodları
ml-oneday-course
This is a one-day machine learning introductory course for beginners
clusteranalysisbasedfastingpostprandialglucoseinsulin
Code of the paper "Cluster Analysis Based on Fasting and Postprandial Plasma Glucose and Insulin Concentrations"
imesc
This app is intended to dynamically integrate machine learning techniques to explore multivariate data sets.
tsdae
Tranformer-based Denoising AutoEncoder for Sentence Transformers Unsupervised pre-training.