unsupervised

工业故障检测 — FBGAN 无监督 TEP 故障检测 (FAR 1.30%)

Choose the number of K-means clusters with the elbow method and silhouette score instead of guessing k.

This is the source code repository for unsupervised noise reduction research.

The project is mainly to demonstrate the performance in terms of convergence for Random Initialisation and K++ for K-Means Algorithm.

Reproducing "NVAE: A Deep Hierarchical Variational Autoencoder" of CVPR 2020 by tensorflow 2.0

Implement of paper "Unsupervised Outlier Detection using Random Subspace and Subsampling Ensembles of Dirichlet Process Mixtures"

AdaptCMVC: Robust Adaption to Incremental Views in Continual Multi-view Clustering

VoxelMorph 无监督医学图像配准 PyTorch 复现与改进探究工程：原生基线 OASIS 脑 MRI 数据集完整复现、Mamba-SSM 主干替换消融对照、微分同胚 SVF 积分 (积分步数 7) 验证、2D 脑部成对配准训练链路；配套形变场量化评测指标（Dice 系数、Jacobian 折叠率、形变平滑损失），留存非刚性配准学习笔记、实验日志与代码探索记录，欢迎讨论交流。

This is the implementation of SIGIR - 2005 paper on Iterative translation disambiguation for cross-language information retrieval

MuEmoVec: Learning Generalised Multi-modal Emotion Representation by Momentum Contrast and Multi-task Reconstruction

K means implementation from scratch

Reconsidering Representation Alignment for Multi-View Clustering

Auto-encoder for vegetation classification.

Classical vision method for lung localization in chest X‑rays without deep learning.

An Implementation of Contrastive Predictive Coding in TensorFlow 2.1

[AISTATS 2022] Gap-Dependent Unsupervised Exploration for Reinforcement Learning

This repository's scripts follow chainer official examples' style as possible. Reproducing code for the paper "Learning Discrete Representations via Information Maximizing Self Augmented Training"

Exploring anomaly detection using unsupervised methods in scikit-learn

Frame-level video anomaly detection using reconstruction error and temporal modeling

AACL'2022: Unsupervised Single Document Abstractive Summarization using Semantic Units