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Python Implementation of Reinforcement Learning: An Introduction
This repository collects some codes that encapsulates commonly used algorithms in the field of machine learning. Most of them are based on Numpy, Pandas or Torch. You can deepen your understanding …
A Collection of Variational Autoencoders (VAE) in PyTorch.
Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection
Quality Metrics for evaluating the inter-cluster reliability of Multidimensional Projections
Matlab Code files strife, nonspecificity and total uncertainty for supervised feature selection in the context of classification. Includes also three articial examples. Files are related to the man…
A supervised autoencoder and its GUI for cost-less thyroid nodule prognosis.
This repository is the demo implementation of [Deep Dimension Reduction for Supervised Representation Learning].
SUPERVISED ENCODING FOR DISCRETE REPRESENTATION LEARNING
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
A pytorch port of google-research/google-research/robust_loss/
Google Research
RECOME: A new density-based clustering algorithm using relative KNN kernel density, published in Information Science, 2018
DenMune a clustering algorithm that can find clusters of arbitrary size, shapes and densities in two-dimensions. Higher dimensions are first reduced to 2-D using the t-sne. The algorithm relies on …
Wang Y, Pang W, Pedrycz W. One-Shot Federated Clustering Based on Stable Distance Relationships[J]. IEEE Transactions on Industrial Informatics, 2024.
PreDeCon - An Implementation in Python, Compatible With Scikit-Learn
Shared Nearest Neighbor-based Clustering by Fast Search and Find of Density Peaks
A PyTorch Implementation of VaDE(https://arxiv.org/pdf/1611.05148.pdf)
Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
A pytorch implementation of the paper Unsupervised Deep Embedding for Clustering Analysis.
PyTorch implementation of DEC (Deep Embedding Clustering)
A catkin workspace in ROS which uses DBSCAN to identify which points in a point cloud belong to the same object.
ST-DBSCAN: Simple and effective tool for spatial-temporal clustering
K-Means++(HCM), Fuzzy C-Means(FCM), Hierarchical Clustering, DBscan