wangliang233

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

attention-module

Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

Awesome-Incremental-Learning

Awesome Incremental Learning

bark

🔊 Text-Prompted Generative Audio Model

BigDataView

100+套大数据可视化炫酷大屏Html5模板；包含行业：社区、物业、政务、交通、金融银行等，全网最新、最多，最全、最酷、最炫大数据可视化模板。陆续更新中

ChatPaper

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

CIL_Survey

The code repository for "Deep Class-Incremental Learning: A Survey" in PyTorch.

class-incremental-learning

PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020 Oral)

continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

eat_pytorch_in_20_days

Pytorch🍊🍉 is delicious, just eat it! 😋😋

expert_readed_books

2021年最新总结，推荐工程师合适读本，计算机科学，软件技术，创业，**类，数学类，人物传记书籍

FACIL

Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.

ForGPT

ForGPT

gpt-tutorial

GPT相关使用教程

Image-classification-with-Vision-Transformer

This repository contains the code and resources for performing image classification using Vision Transformer (ViT) models. Vision Transformers have gained popularity in computer vision tasks, demonstrating competitive performance compared to traditional convolutional neural networks.

IP102

IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognition

keras-io

Keras documentation, hosted live at keras.io

koodo-reader

A modern ebook manager and reader with sync and backup capacities for Windows, macOS, Linux and Web

Masuit.MyBlogs

基于C#/.NET7的 masuit.org个人博客站项目源码，https://masuit.org ，供参考、学习、引用、非商业性质的部署。

md

✍ WeChat Markdown Editor | 一款高度简洁的微信 Markdown 编辑器：支持 Markdown 语法、色盘取色、多图上传、一键下载文档、自定义 CSS 样式、一键重置等特性

PyCIL

PyCIL: A Python Toolbox for Class-Incremental Learning

RuoYi

:tada: (RuoYi)官方仓库 基于SpringBoot的权限管理系统 易读易懂、界面简洁美观。 核心技术采用Spring、MyBatis、Shiro没有任何其它重度依赖。直接运行即可用

SSLDPCA-IL-FaultDetection

Semi-Supervised Density Peak Clustering Algorithm, Incremental Learning, Fault Detection（基于半监督密度聚类+增量学习的故障诊断）

Train_Custom_Dataset

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

tts-vue

🎤 微软语音合成工具，使用 Electron + Vue + ElementPlus + Vite 构建。

turntable

h5 - 转盘抽奖

UC-OWOD

Vision_Transformer

Vision Transformer (ViT) is a type of neural network architecture that has been introduced to address the problem of image classification. Unlike traditional convolutional neural networks (CNNs), which rely on convolutions to extract local features from an image, ViT employs a self-attention mechanism to extract global features for classification.

vue-manage-system

基于Vue3 + Element Plus 的后台管理系统解决方案