SynthDet - An end-to-end object detection pipeline using synthetic data

The MERIT Dataset is a fully synthetic, labeled dataset created for training and benchmarking LLMs on Visually Rich Document Understanding tasks. It is also designed to help detect biases and improve interpretability in LLMs, where we are actively working. This repository is actively maintained, and new features are continuously being added.

Synthetic sounds datasets and real sounds datasets of waterflow sounds for the repo 'Neural-Texture-Sound-Synthesis-with-physically-driven-continuous-controls'.

An open-source software for synthetic web-based user interface and content dataset generation. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711022000073

PhishNet is an experimental research project implementing Reinforced Self-Training (ReST) human-aligned with crafted instructions and fine-tuned models to craft a high-quality synthetic dataset of phishing emails.

Power Distribution Modelling for cea and cel algorithms

🟩 Synthetic sales dataset simulating customer purchases. Includes demographics, purchase details, loyalty info, & transaction outcomes. Useful for behavior analysis & forecasting.

🟥🟩 Comprises 10,000 two-dimensional points organized into 100 distinct circles. Designed for evaluating clustering algorithms like k-means, it presents a well-defined clustering challenge. Each point is labeled with its corresponding circle, making it suitable for both classification and clustering tasks.

Synthetic Dataset Generator is a versatile Jupyter Notebook designed to create synthetic datasets for a wide range of applications.