Library to perform efficient vision data augmentations for CPU/GPU per-sample/batched data.
-
Updated
Jun 11, 2024 - Python
Library to perform efficient vision data augmentations for CPU/GPU per-sample/batched data.
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
Generation and evaluation of synthetic time series datasets (also, augmentations, visualizations, a collection of popular datasets)
Medical imaging toolkit for deep learning
[SIGIR'2024] "SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation"
A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.
An open-source library for recognition of speech commands in the user dictionary using audiovisual data of the speaker
Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)
Python library for data augmentation in object detection or image classification model training
end-to-end face regontion project based on tensorflow
🦾Custom Object Detection Model and Process --> 🤖Object Detection Model Training with ⚙️Picked Object +🏷️Custom Label .
A generalizable application framework for segmentation, regression, and classification using PyTorch
Code for ACL 2024 paper -- ABEX: Data Augmentation for Low-Resource NLU via Expanding Abstract Descriptions
fastdup is a powerful free tool designed to rapidly extract valuable insights from your image & video datasets. Assisting you to increase your dataset images & labels quality and reduce your data operations costs at an unparalleled scale.
A high-performance image processing library designed to optimize and extend the Albumentations library with specialized functions for advanced image transformations. Perfect for developers working in computer vision who require efficient and scalable image augmentation.
"OpenGraph: Towards Open Graph Foundation Models"
[ICML'24] BAT: 🚀 Boost Class-imbalanced Node Classification with <10 lines of Code | 从拓扑视角改善类别不平衡节点分类
Code release and project site for "CCIL: Continuity-based Data Augmentation for Corrective Imitation Learning"
This is a deep learning project in agriculture domain that detect plants diseases
Add a description, image, and links to the data-augmentation topic page so that developers can more easily learn about it.
To associate your repository with the data-augmentation topic, visit your repo's landing page and select "manage topics."