ariewahyu

Prompt-Engineering-Guide

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

supervision

We write your reusable computer vision tools. 💜

segment-geospatial

A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

tidy-text-mining

Manuscript of the book "Tidy Text Mining with R" by Julia Silge and David Robinson

awesome-lidar

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

Awesome-Remote-Sensing-Foundation-Models

segment-lidar

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

geebook

Earth Engine and Geemap: Geospatial Data Science with Python

AI-RemoteSensing

stadata

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

greenR

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 implemented as both an R package and a Shiny web application for user-friendly interaction.

seafaring

Code for "Active Learning from the Web" (WWW 2023)

talk-like-a-graph

kamus-alay

mistat-code-solutions

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

vechicle-counting-yolo

An algorithm that uses YoloV5 and DeepSORT to count and measure the number of vehicles in a video stream, it detects the vehicles with YoloV5 and tracks them with DeepSORT to maintain a count of unique vehicles in the video. It also calculates the frames per second (FPS) of the video stream.

intro_access_book

Introduction to urban accessibility: a practical guide in R (https://ipeagit.github.io/intro_access_book/)

Regression-Loss-Functions-in-Time-Series-Forecasting-Tensorflow

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 compared 14 regression loss functions performance on 4 different datasets.

RSE_Cross-city

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 for Cross-City Semantic Segmentation using High-Resolution Domain Adapation Networks, Remote Sensing of Enviroment, 2023.

TreeFormer

peervest

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

Remote-Sensing-SRGAN

Fruit-Ripeness-Detection

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

pvp_ev_drl

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

samgeo_to_linknet

Segment Anything to MobileOne Linknet distillation

TomatoDetection

Model to classify and detect ripe and raw tomatoes.

roadrunner_app

road-extraction

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

Graph-Poverty-Identification

GEE_CMRI_MangroveAnalysis