image-classification

Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project

fastdup is a powerful, free tool designed to rapidly generate valuable insights from image and video datasets. It helps enhance the quality of both images and labels, while significantly reducing data operation costs, all with unmatched scalability.

🙄 Difficult algorithm, Simple code.

Xtreme1 is an all-in-one data labeling and annotation platform for multimodal data training and supports 3D LiDAR point cloud, image, and LLM.

[TPAMI 2023] LibFewShot: A Comprehensive Library for Few-shot Learning.

Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.

Implementation of Bottleneck Transformer in Pytorch

Official Ultralytics YOLO Flutter plugin for real-time inference on Android and iOS across major vision tasks.

This is the official repository for the book Transformers - The Definitive Guide

Creates an index of images, queries a local LLM and adds tags to the image metadata

Open-source CLI, API, web UI, and reproducible benchmarks for probabilistic AI-generated image detection.

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorch

A Simple, Lightweight, and Extensible Serving Framework for X-AnyLabeling

Bottleneck Transformers for Visual Recognition

A Simplified PyTorch Implementation of Vision Transformer (ViT)

Your fully proficient, AI-powered and local chatbot assistant🤖

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

Easy-to-use finetuned YOLOv8 models.

PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers