The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT)...
#计算机科学#LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source dat...
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
#数据仓库#Label Studio is a multi-type data labeling and annotation tool with standardized output format
#计算机科学#Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
#计算机科学#CVAT 是一个领先的工业级用于机器学习的图片、视频标注工具。
#计算机科学#PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)
#计算机科学#cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集,极市团队整理
#计算机科学#Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
#计算机科学#Best Practices, code samples, and documentation for Computer Vision.
#计算机科学#Refine high-quality datasets and visual AI models
#数据仓库#Techniques for deep learning with satellite & aerial imagery
#Awesome#Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
#大语言模型#[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. 接近GPT-4o表现的开源多模态对话模型
#计算机科学#A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like YOLO11, RT-DETR, SAM 2, ...
#算法刷题#Experience, Learn and Code the latest breakthrough innovations with Microsoft AI
PaddleClas 是一个为工业界和学术界所准备的图像识别任务工具集