wtpy是基于wondertrader为底层的针对python的子框架

📁我不是的知识的生产者，我只是知识的搬运工

PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566

[ICCV 2023] You Only Look at One Partial Sequence

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

PyTorch code and models for the DINOv2 self-supervised learning method.

PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

Code for our CVPR 2022 paper 'Generalized Category Discovery'. Project page: https://www.robots.ox.ac.uk/~vgg/research/gcd/

A list of papers that studies Novel Class Discovery

This is a toolbox for Deep Active Learning, an extension from previous work https://github.com/ej0cl6/deep-active-learning (DeepAL toolbox).

Code for our CVPR 2024 paper "Active Generalized Category Discovery"

Everything you need about Active Learning (AL).

Bayesian active learning library for research and industrial usecases.

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[ICCV 2023] DETRs with Collaborative Hybrid Assignments Training

Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection, CVPR, Oral, 2020

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

AI education materials for Chinese students, teachers and IT professionals.

FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

End-to-End Object Detection with Transformers

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

YOLOv10: Real-Time End-to-End Object Detection

eladmin jpa 版本：项目基于 Spring Boot 2.6.4、 Jpa、 Spring Security、Redis、Vue的前后端分离的后台管理系统，项目采用分模块开发方式， 权限控制采用 RBAC，支持数据字典与数据权限管理，支持一键生成前后端代码，支持动态路由

[🔥updating ...] AI 自动量化交易机器人 AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant

学之思开源考试系统是一款 java + vue 的前后端分离的考试系统。主要优点是开发、部署简单快捷、界面设计友好、代码结构清晰。支持web端和微信小程序，能覆盖到pc机和手机等设备。 支持多种部署方式：集成部署、前后端分离部署、docker部署。

设计模式 Golang实现－《研磨设计模式》读书笔记

🚀Vite+Vue3+Gin的开发基础平台，支持TS和JS混用。它集成了JWT鉴权、权限管理、动态路由、显隐可控组件、分页封装、多点登录拦截、资源权限、上传下载、代码生成器【可AI辅助】、表单生成器和可配置的导入导出等开发必备功能。