Remote Sensing Data Analysis in R 🛰

Lbl2Vec learns jointly embedded label, document and word vectors to retrieve documents with predefined topics from an unlabeled document corpus.

Code created for blog series on unsupervised feature/topic extraction from corporate email content. An implementation for cleaning raw email content, data analysis, unsupervised topic clustering for sentiment/alignment and ultimately several deep-learning models for classification. Details at www.avemacconsulting.com.

A project leveraging machine learning for the identification and classification of glomeruli in renal biopsy images. Utilizes SegNet and U-Net for segmentation and explores unsupervised clustering for sclerosed glomeruli classification

Predict reach of a LinkedIn post

中国地质大学（武汉）地理信息工程学院开设的一门选修课。An optional curriculum held by School of GI Engineering, CUG

Practice and become familiar with clustering algorithms

Assignments in 'Applied Probabilistic Models' course by Prof. Ido Dagan at Bar-Ilan University.

This repository contains an implementation of a deep learning architecture designed for unsupervised or self-supervised classification tasks. The architecture consists of two components: a classifier and an aligner.