The Coastal Carbon Network Data Library: An open-source database featuring carbon data from tidal wetlands around the world

SynthShapes is a Python package for generating synthetic shapes in 3D, tailored for augmenting biomedical imaging training datasets.

data synthesis for simulation of pen-based interaction

A Label-Free and Data-Free Synthesis Engine and Training Framework for Vascular Segmentation of sOCT Data with PyTorch.

This repository collects papers for "A Survey on Knowledge Distillation of Large Language Models". We break down KD into Knowledge Elicitation and Distillation Algorithms, and explore the Skill & Vertical Distillation of LLMs.

An environmental data synthesis pipeline for the Biodiversity Exploratories and other research consortia

[CVPR 2020--Oral] CycleISP: Real Image Restoration via Improved Data Synthesis

[Preprint] Deformation-Recovery Diffusion Model (DRDM): Instance Deformation for Image Manipulation and Synthesis

official code for Customizable Embodied Multi-modal Perturbations for SLAM Robustness Benchmarking

Releases for 「Synthesizing Realistic Data for Table Recognition」

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.

[CVPR 2023] Label-Free Liver Tumor Segmentation

Build machine learning image classifiers and summarize large image datasets from the Imaging FlowCytobot (IFCB)

Website of the ready4 suite of tools for data synthesis and modelling in mental health

This GitHub repository showcases my bachelor thesis which is focused on exploring the application and comparison of various deep generative models for synthetic image augmentation in manufacturing domain.

Synthesize, analyze, and visualize biological oceanography data

Code & data for ICLR 2024 spotlight paper: 🍯MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data

Synthesis data in YOLO format given background and object images

Boosting Document Intelligence

🔥[CVPR 2024 Oral] Official code for LTGC: Long-Tail Recognition via Leveraging LLMs-driven Generated Content