[NeurIPS 2023] This is the code for the paper `Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias`.

AnnotationTool to create multi-view annotations for the JARVIS 3D Markerless Pose Estimation Toolbox

Code for paper "ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language Models"

A Python library designed for scraping data from the SCP wiki.

GeoCamPal is a modular image analysis toolkit with a GUI and an open-source Python environment. It integrates specialised tools for camera calibration and image harmonisation, feature identification, including manual editing, labeled training data preparation, georeferencing , DEM generation, timestack creation, and wave-runup analysis.

Generates training data for training ML models. This may seem useless but it can sometimes be helpful if you don't feel like finding a ton of data yourself. Plus, because you can customize how data is generated, you can create some nasty datasets to test your algorithms.

AI-Driven Control Strategy for Differential Drive Wheeled Mobile Robots: Neural Network-Based Parameter Optimization and Real-Time Stabilization for Multi-Waypoint Navigation.

This repository has research paper implementation which reconstructs training data.

Some simple python scripts for generating data for remote sensing purpose.

This is a MATLAB source code of the enhanced equidistribution, which guarantees that the generated random sequence follows the theoretical uniform distribution.

UI to prepare training data for SmartTool inside Supervisely platform

semi-automated postprocessing of cellpose segmented images

Codes for machine learning exercises on DL models and training data generation pipelines