16 skills found
SonarSonic / DrawingBotV3DrawingBotV3 is a software for converting images into vector art
lgatto / TeachingMaterialVarious teaching material
hh0525 / VectorTalkerVectorTalker: SVG Talking Face Generation with Progressive Vectorisation
williamyang98 / ViterbiDecoderCppViterbi decoder with vectorisation written in C++
dashtiali / Vectorisation AppThis web app can be used to compute and visualize featurized PH barcodes.
r-lidar-lab / VecnetVectorisation of road network
ElvisAns / AI Chatbot DemoA customizable chatbot using Cloudflare AI Workers that responds to custom questions with pre-defined answers, leveraging text vectorisation and AI text generation for natural conversational interaction.
samanbey / Auto VectorVarious Python scripts to help automatic vectorisation of scanned maps in QGIS
Fractal-analysis-of-surface / Building Footprints PythonDetection, vectorisation, and regularisation of building foot-prints from LiDAR data.
aportelli / VecBenchCompiler auto-vectorisation benchmark
KeironO / PyvecAn attempt to make vectorisation in python a first class citizen.
PnEcrins / Manuel QGIS Forets AnciennesMANUEL POUR LA VECTORISATION DE L’USAGE DES SOLS ET LE GEOREFERENCEMENT DES MINUTES 1:40 000 DE LA CARTE D’ETAT-MAJOR
jmiba / Zotero Redisearch RagAn Obsidian plugin that synchronizes selected Zotero full-text items with your vault in realtime, vectorizes them and lets you chat with your pdf documents.
AmritaPanjwani / NLP Text ProcessingNLP Text Processing repository is created to provide detailed structured approach towards text processing. It covers the following text processing steps: 1. Convert documents to sentences, 2. Convert sentences to words, 3. Create tokens (tokenisation: stemming and lemmatisation), 4. Convert tokens to vectors (Vectorisation or word-embeddings)
ludibel / Document AIDocument AI est une application de chat vous permettant de communiquer avec vos documents au format pdf, txt, docs, csv, json en utilisant un LLM comme ChatGPT. Ces documents sont téléchargés et traités (vectorisation, stockage) via l'application afin de pouvoir être utilisés dans le chat.
jakobbrown / Pizza Ontology And Knowledge Graph ExperimentationIn order to gain some grasp in to the capabilities of semantic web technologies and knowledge graphs, I first created a simple pizza ontology in protege, which was then transferred over to python. Using rdflib, owlrl, and owlready2 libraries, various operations were performed such as conversion of a tabular dataset to a knowledge graph, alignment of said knowledge graph with the famous pizza ontology (https://protege.stanford.edu/ontologies/pizza/pizza.owl) , sparql querying, deductive reasoning using owlrl semantics, and experimenting with creating embeddings from the ontology using Owl2Vec (https://github.com/KRR-Oxford/OWL2Vec-Star). Using these vectorisations of the knowledge graph, an initial k-means clustering algorithm was applied to the entities of the ontology to gauge lexical and semantic similarities, which were then visualised and evaluated.
