This repository is the official implementation Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients.

Code for 'Leveraging the Feature Distribution in Transfer-based Few-Shot Learning'

Code to reproduce the results in the FAIR research papers "Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples" https://arxiv.org/abs/…

Code for the paper: "SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification"

A Unified Semi-Supervised Learning Codebase (NeurIPS'22)

This repository contains the pytorch code for our BMVC 2022 paper "BaseTransformers: Attention over base data-points for One Shot Learning".

This repository contains the code for Instance Credibility Inference (ICI).

Learning to Self-Train for Semi-Supervised Few-Shot

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Hellohao图床 | 图像托管 | 云相册，分享/水印、存储源分发、图像管理、前后端分离。

AV 电影管理系统， avmoo , javbus , javlibrary 爬虫，线上 AV 影片图书馆，AV 磁力链接数据库，Japanese Adult Video Library,Adult Video Magnet Links - Japanese Adult Video Database

一个基于react16，react-router4，redux4的webapp。主要功能类似于朋友圈，动态编辑，图片上传，图片预览，点赞，评论，用户登录注册，用户日志管理，用户信息管理。服务等是采用express ，数据持久化采用的是mongodb。功能相对来说比较简单，主要是为了react练手。react新手学习的看过来。

轻快图床：使用nestjs+vue3.x+ts+vite开发的在线图床系统，内置功能包括图片上传、图片管理、存储桶管理、相册管理、插件市场、知识库管理、数据统计等功能，插件分为上传插件、主题插件、工具箱插件，目前内置数十种插件，支持腾讯云COS、又拍云Upyun、阿里云OSS、github图床、gitee图床、七牛云 KODO等常用对象存储插件以及vscode暗黑主题、Monokai主题等。

Backend of PixeStack (SpringBoot + MyBatis + Redis) 图像素材管理系统

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

ChatReviewer: 使用ChatGPT分析论文优缺点，提出改进建议

标注自己的数据集，训练、评估、测试、部署自己的人工智能算法

The Pytorch code of "Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification", CVPR 2022 (Oral).

accepted at ICCV 2021

Google Research

Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization

Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

✨基于卷积神经网络(CNN)和CIFAR10数据集的图像智能分类 Web 应用 Intelligent Image Classification Web Applcation based on Convolutional Neural Networks and the CIFAR10 Dataset✨🚩 (with README in English) 📌含在线demo：图像分类可视化界面，…

Platform for few-shot natural language processing: Text Classification, Sequene Labeling.