Machine Learning Systems

Transform geospatial relations into graphs for Graph Neural Networks and network analysis

🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!

Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

This contains slides, code, data and reading materials for the the course.

Code for "Machine Learning for Physicists" lecture series by Florian Marquardt

Shapley Interactions and Shapley Values for Machine Learning

🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

Bachelor Thesis: P2P energy trading in a live market environment with EVs using Deep Reinforcement Learning

A Peer-to-Peer Lending Robo-Advisor Using a Neural Network (Probability of Default) and a Random Forest Regression (Annualized Returns)

This project aims to classify 6 types of fruit (apple, banana, orange, pomegranate, mango and papaya) into 3 classes of raw, ripe or rotten

Super-Resolution GAN for Remote Sensing Images

Python package for segmenting LiDAR data using Segment-Anything Model (SAM) from Meta AI.

Danfeng Hong, Bing Zhang, Hao Li, Yuxuan Li, Jing Yao, Chenyu Li, Martin Werner, Jocelyn Chanussot, Alexander Zipf, Xiao Xiang Zhu. Cross-City Matters: A Multimodal Remote Sensing Benchmark Dataset…

Extracting road surfaces and street networks from high-quality satellite imagery.

We write your reusable computer vision tools. 💜

😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.

greenR is an R package that enables the quantification, analysis, and visualization of urban greenness within city networks. It leverages data from OpenStreetMap (www.openstreetmap.org) and is impl…

STADATA is a Python package that simplifies access to statistical data provided by BPS - Statistics Indonesia

Model to classify and detect ripe and raw tomatoes.

Code repository for "Modern Statistics: A Computer Based Approach with Python" and "Industrial Statistics: A Computer Based Approach with Python"

This repository contains the implementation of paper Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting with different loss functions in Tensorflow. We have compar…