[NeurIPS 2023] This is the code for the paper `Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias`.
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.
AI-Driven Control Strategy for Differential Drive Wheeled Mobile Robots: Neural Network-Based Parameter Optimization and Real-Time Stabilization for Discretized Path Tracking.
Codes for machine learning exercises on DL models and training data generation pipelines
UI to prepare training data for SmartTool inside Supervisely platform
semi-automated postprocessing of cellpose segmented images
Add a description, image, and links to the training-data-generation topic page so that developers can more easily learn about it.
To associate your repository with the training-data-generation topic, visit your repo's landing page and select "manage topics."