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”fast-augmentations“ 的搜索结果
#计算机科学#Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
翻译 - 快速的图像增强库，易于在其他库周围使用包装器
#计算机科学#Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.
#计算机科学#A fast image augmentation library in Julia for machine learning.
#计算机科学#AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/
A fast tool to do image augmentation on GPU(especially elastic_deform), can be helpful to research on Medical Image.
small data augmentation for faster-rcnn
A step-by-step PyTorch guide for improved vehicle type 2D object detection based on Faster-RCNN using transfer learning and data augmentation.
Source code and data for the paper "Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction" accepted to NIPS'2012 and "Fast Max-Margin Matrix Factorization with Data Augmentation" ...
Augmentations usage examples for albumentations library
OpenCV implementation of Torchvision's image augmentations
A data augmentations library for audio, image, text, and video.
翻译 - 用于音频、图像、文本和视频的数据增强库。
Code for Temporal Data Augmentations (ECCVW 2020)
official implemntation for "Contrastive Learning with Stronger Augmentations"
Augmentations for Neural Networks. Implementation of Torchvision's transforms using OpenCV and additional augmentations for super-resolution, restoration and image to image translation.
The adaptive interface system for modern web experiences.
翻译 - 适应性界面系统，可提供现代的网络体验。
面向配置的crud框架，开发crud 快如闪电，超级表格；Options-oriented crud framework, develop crud as fast as lightning；based on vue3；super table
[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen
#数据仓库#Generation and evaluation of synthetic time series datasets (also, augmentations, visualizations, a collection of popular datasets) NeurIPS'24
ConvNet for Kaggle Statoil/C-CORE Iceberg Classifier Challenge, handling multi-inputs with augmentations on two channels
The code for ECCV22 paper "Fast-Vid2Vid: Spatial-Temporal Compression for Video-to-Video Synthesis"
#计算机科学#A framework for high-performance medical image processing, neural network inference and visualization
💨 Writing Fast Ruby 😍 -- Collect Common Ruby idioms.
翻译 - ：dash：编写快速的Ruby：heart_eyes：-收集常见的Ruby习惯用法。
