[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 feature identification using HSV masking and manual identification, training data (COCO json) preparation, georeferencing images using a 2D homography matrix, DEM generation and further 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 Discretized Path Tracking.

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

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

semi-automated postprocessing of cellpose segmented images